Showing posts with label Robotics. Show all posts
Showing posts with label Robotics. Show all posts

Wednesday, August 23, 2017

Automation in Software development tools

Just reading and kicking around ideas about the impact of AI on software development.

The ideas I am synthesising are:

An article on creating occular prosthesis I saw on tv this morning,

This article on Brute force Proofs for Math problems:
https://motherboard.vice.com/en_us/article/padnvm/200-terabyte-proof-demonstrates-the-potential-of-brute-force-math

And an article on programmers as craftsmen that I read somewhere back in the past:
Might have been this one: http://manifesto.softwarecraftsmanship.org/


I think that there is a cusp point at which an industry transitions from human skill powered to automation.  This could be pure mechanical automation/reproduction or in future AI driven systems.  This has happened to any and all manufacturing over the past century.  Start with Armoury practice or the "American Method" in weapons manufacturing.  This was a simple move from craftsman driven industry to an industry built around a component based design where each component was produced by a specialist.  Then the specialist was replaced by a cheaper duplication process.  This could involve humans, but it was reduced to a series of steps that could be done on machines.   The craftsman who once had to know all the different aspects of the production process for a weapon, then faded into irrelevance.  (Until the process was re-discovered and turned into a you-tube series)

Why did this happen?  Economics?  Yes, the production line is more "efficient" at producing a volume of similar items.  There are also emergent phenomena that this production model created that were not possible in the craftsman model.

The invention of the production line model allowed many people to be part of the production that were not previously able to be a "one stop shop" craftsman.  People could be good at woodwork but not metal work.  They could be specialist at creating screws or making barrels.  They did not have to be masters of making barrels, triggers, stocks etc.  By decomposing the whole item into components, it allows more people to specialist.  Some of these specialties were boring and repetitive and would not be "enough" to keep a person who was a "total" craftsman interested, but it opened up an opportunity for people with varied ability and shorter educations who could then be part of a production line for high quality items. It also allows deeper "specialization" to occur.  A person who spends all day producing one type of thing, has the opportunity to get very good at it. If they produce many similar things, such as screws or triggers,  they can understand them at a level that is not availible to a craftsman who is trying to be good at all the areas of the design and the skills and tools required to produce it.  I call this the "specialization limit".

The second emergent phenomena is the scale of the item design.  There are only so many skills, techniques and materials that any one craftsman could learn and invest in.  This is what I am calling the "scale limits".  But a production line can bring the skills of many specialists to a much larger design.  Imagine trying to build a jet engine using the craftsman method.  One person learns the skills required to operate a huge machine shop and produces all the parts and components to construct one massive engine.  Its possible but it would be a singularly unique person who would pursue the education, experience and focus required to craft this kind of thing with the precision required. 

There are lots of other phenomena, such as replacement of people on the production line.  Even though we do not like the thought of being replaced,  its easier to replace and train a person on a single component production, than it is to replace a craftsman who is doing a whole bunch of different skills and processes.  This is often the work of a lifetime.

One more phenomenon that I want to make a point of:  The phenomenon of the product complexity growing beyond one persons capacity to either design or make.  If you look at the growth of complexity from a craftsman made flintlock rifle, through to something like the M1 Garand, I think the craftsman who made the flintlock could have looked at the Garand and "seen" how it worked and given some time and modern tools, probably made a reasonable copy.... but there is a point where the evolution complexity of a family of products exceeds most craftspeople.  Weapons are probably not a good subject to try to make this point as the complexity has not started to grow exponentially.  The most complex weapons I can think of off the top of my head could probably still be taken apart and rebuilt by a very competent modern fitter/machinist/electrical engineer... basically because they still do all the repair and service on these systems.  Perhaps I should call this the "serviceability limit" (since I'm making shit up...).   The point being, that without the servicability limit, the complexity of a system can easily grow to exceed any one persons or teams capacity.  Look at operating systems if you want an example.  They have evolved way beyond the capacity of anyone to service them.

With modern tooling and processes, there are less and less roles for humans in the production line.  Only in factories where they are doing small run or are too poor to afford robots do we still find people doing lots of the roles in production.  We currently have the robotic technology to replace just about everyone in a production line, however, there are still a range of "hard" bits that no one has bothered to automate.  If you look at a current generation vehicle assembly plant (watch any of the "mega-factory" type documentaries,  any of them could be fully automated.  However, its currently cheaper to use humans to do the "hard" bits than it is to finally automate the whole thing.  They main role for humans is still the "creative" bit.  Where the product is designed and problems (created by the human users, service agents and consumers of the product) are solved.  The funny thing is that most of these creative solutions are pretty common and could be automated in part or in full already.  Think about a car assembly plant.  The design of a car is not that tricky.  They are all essentially variations on a theme.  The main variance is the "problem" that they are solving.  "I need a small car to run around town and take the kids to school".  Not that hard to solve apparently.  The whole design could be automated with enough effort, and we could produce thousands of variants of the "small car" design.  (With 3D printing of components this has got to be even closer. I'm waiting for the kiosk where I can order a custom car and it will be delivered from some mega-factory that is essentially just a giant car printer and assembler robot. )

The last phenomena is what I call the "forgetting of skills".  Once a skill set no longer has a commercial purpose, it becomes a "hobby" at best or is simply forgotten by the majority of people.  When I went to school, woodwork and metalwork were still part of the curriculum.  Even though there were virtually no manufacturing jobs in the town that would have employed me with them.  There is still carpentry in building houses and lots of small fabrication shops doing repairs for all sorts of equipment... but the reality is that these are more foundational skills or hobby skills.  I really enjoy wood and metal work but I respect that they are less and less involved in the economy around me.  I have to face the fact that I should not encourage my children to study these subjects at school as they are probably irrelevant to them being able to survive.  My point is, once a skill set, such as crafting a flintlock rifle is no longer economically valuable,  everyone moves on, and the unique set of skills and knowledge that was previously encoded in a single group of craftspeople dies out. 


Anyway, to bring this back to my point....

Software development easily falls into the craftsman model at the moment.  Even on the big teams where they have compartmentalized design, programming, testing, deployment etc... its only the first step away from "one programmer shops" producing application packages. (Yes, I 'm a one programmer shop and I'm in the dark ages.... and often feel far from being a craftsman... different rant)

My point is, that there are components (clearly I use SDKs and UI controls and frameworks etc) that mean I am not re-inventing the wheel, but each of them has been hand crafted by one or more people.  There is very little that could be described as automated in software development.  I have used a couple of code generators (shout out to XSD xml parser generator) that are great at doing one thing well.  These are the future.   Reminds me of an automated UI generator that turned up in a news feed a month or two ago.  (Can't remember the reference at the moment)  but that is the way of the future. I think we are the last generation of craftspeople programmers.

I think there will be a point not too far in the future where round trip design/programming/compiling/services systems take over software production.  Humans will cease to be up to their elbows in every line of code and we will at least be able to describe the interface for a module and any side effects and not only have it written auto magically, but it proven to be correct.  This may include a suite of unit tests and any other tests, but these are human artifacts to test for human errors.  I think the tests will move to a higher level of abstraction to prove that the design layer is robust, as that is where the creativity will remain for a while.  Once the AI is suitable to replace the creative limit of the humans, then the whole process will be automated and software will be a dead art from the olden-days.

So, lets recap:

The "Specialization limit", the "serviceability limit" and the "scale limit".  These are all human limits imposed on software systems.

I would argue that the "servicability limit" is very loose in software, as a great deal of it is both blackboxed and so poorly debugged that its hard to argue that any of it is servicable. (Even the stuff that I try to write) Once its compiled and running in the wild on operating systems that have been updated beyond what it was tested on... all bets are off.  There is virtually nothing the user can do to "service" the item.  It either works or it doesn't.

My ability to service it is still viable but getting harder with the proliferation of platforms.  I am working on an old C++ application at the moment.  It has fairly clearly defined platform targets that evolve relatively slowly (I say relatively... whole other rant) in comparison with a javascript app that I was working on previously that is just a madhouse of platform variations and patches and just...

At a certain point, it exceeds any one persons ability to service this kind of product.  I have a fighting chance as the original designer and builder, but for many legacy systems, the complexity rapidly exceeds the skills of anyone who inherits the system.  Keeping up to date with platform movements and maintaining a heritage skill set and knowledge base to understand legacy codebases gets pretty ugly.  Just in my own work, I am now looking backward over more than a decade of development using a slew of languages, frameworks and sdks, along with a whole pile of bad design choices and trying to decide if its worth trying to modernise the program. (not that it had a large user base but it represents a big chunk of my life that I am not sure I want to say goodbye to yet...)

The "specialisation limit" is also starting to kick in.  I actively work in a range of languages across a few platforms and there is a point beyond which I cannot work in any more.  Trying to pick up something that I used to be good at and get back into it, takes some work.  I notice the cost.  Maybe it would have been easier when I was young and my head was empty, but its filled with all sorts of knowledge that is no longer relevant for all sorts of systems that no one cares about anymore.  (I think I need to burn my bookshelf.... )
Watching the library throw out books that I have read is a pretty shocking thing.... especially when you look inside the cover and see that it was checked out exactly 5 times in its lifespan.  But the point is, these skill sets are dead.  No one cares anymore.  They are not economically valuable and my children will never learn them.

The "scale limit" is an interesting issue with software, in that without automated tools, there is a point beyond which we cannot go with a codebase.  Its just too complex to comprehend in its entirety.  (This is without taking into account the hidden complexity of all the SDK's and the platform code that its running on...) Some of the round trip type tools allow you to deal with larger amounts of complexity, but at a certain point, it will exceed your limits, simply because we all have limits.  Automated systems are theoretically limited but the reality is that they can run with much larger capacity than any single human... and at that point we are irrelevant. We will no longer be ecconomically viable.

Programing will be a hobby at best. Our children will order software from automated kiosks that present customized packages assembled by software robots. The company with the best robots will win.

It's interesting to look at the evolution of machine tools along with the evolution of the production line.  Mechanical tools, Electric tools, CNC tools, lazer tools, 3D printers, design software, welding robots etc.

Looking at a woodworking shop (cause I can watch youtube..) you can contrast hand tools, planes, chisels, saws etc. with power tools, power plane, thicknesses, joiner, mortiser, biscuit joiner, table saw etc. The advantage of the power tools is speed and reproduce-ability.  The material is the same and the construction is the same, just faster.
Once you move up to CNC driven cutters and routers or 3D printers, you are no longer working the same material or construction methods.  Essentially, the materials have had to evolve to suit the tools, and the products that are produced are no longer the same.  Take a wooden box made with traditional techniques vs a wooden box made of MDF cut out on a CNC router, assembled by a robot and finished in a spray booth.  The first has been crafted from peices of natural wood, with grain and form.  Finished in a pleasing way by the maker.  If the maker used hand tools, it may be a little uneven or not, the difference between handtools used with care and power tools is not that great. The difference between that product and the one produced by the cutting robot however is more distinct.

Both are functionally similar, in that they are a box, but the second is really defined by the process and materials. This is because the production line for robotic wooded products is still only in about the second or third generation.  The next generation will be robotics that works with natural materials and reproduces a wooden box that appears to be made by a craftsman.  Initially there will be all sorts of cheats to make it easier for the robot to handle the components and to cut the joints... but these are not hard to overcome.  It's quite easy to visualize a production line of robots manufacturing wooden boxes that are not easy to differentiate from one made by a human craftsman.

All these tools are working in the production space.  None have yet moved into the "solving a problem" meta space.  A robot has not yet been developed that can identify the need for a wooden box, build it (or commission it) and supply it/install it and then finally service it through its functional life.  This would be a vertically integrated system. 

If we looked at software developers tools... its hard to see that we are really that far along.

Text editors are pretty nice, but once you start to list all the "power tools" that can be used, the list is quiet short and is only implemented in a few languages.

  • Indenting / formatting tools - pretty print the file, de-mimify
  • Spell checkers - syntax checkers and variable/function name checkers
  • Cross referencing tools - quickly jump between files, declarations, definitions etc
  • Re-factoring tools - lots

In the rest of the toolchain, we have testing tools, compliers, linkers, packaging macros, build tools, installer builders etc. Let's not belabor the point... 

Every one of these is still just duplicating what you could do by hand.  (Yeah, I realize that compiling a program by hand is beyond me...) but that's the point.  These tools are simply doing what is humanly possible... faster.  Essentially, "powertools" in the above woodwork analogy. None of them is doing anything not humanly possible... the materials are still the same.  There is little integration between the systems (except the compiler and linker... again not the point)

I think the next step will be when the materials are modified to be more machine friendly than human friendly.  Looking at all the "intermediate code" and java bytecode that is around, you can see the process is clearly in process.  While we could kind of work with bytecode, its not economically viable.  There is little point in trying and so the skills are already being forgotten (or not taught to the next generation).  I find it hard to imagine that I would encourage my kids to learn assembler.  It's just not a good use of their time.

When the software design tools do not bother to produce human readable code, even as an intermediate step, programmers are irrelevant.  When the design tools take a rough problem description, then software architects are irrelevant.  When bugs are automatically removed, then software serviceability will be solved.

I think that this will happen when we have a high enough level language to describe a problem and its boundaries and a compiler/software robot can translate that into a solution and customize it to our desire.

With the current crop of AI, I think the question is whether this will be a human readable language or simply a pattern recognition neural net that can interpret our vague problem definitions and produce a software solution on demand.  At which point, there will be little point in evolving operating systems by human hands anymore.  Machines do not need any of the graphical user interface crap that has bloated most of our OS's. 

Anyway, the vertical integration process will continue.

It's interesting that consumer goods like the above "wooden box" example are still so far from being vertically integrated and human free.

There is no robot or chain of robots that can harvest a wild grown tree, mill it, dry it, cut, fit and assemble it from real wood into a box and deliver it to me.  Note, wild grown tree and real wood.

There are sections of that production chain that exist and have been integrated, but they are still little autonomous units that are struggling to connect. 

There are a few more production lines that are able to consume wood chips, turn them into MDF/plywood etc. and cut, assemble and package for delivery, ship it and deliver it... but sill not even close to vertically integrated if you look at the "needs" end of the chain.

For me vertically integrated would be to start with a design (or brain fart) from me in a natural language including the type of wood, figure, finish etc (or even have that automagically recommended (not hard based on my preferences)) all the customization with my name, personal carving styles, size, inserts etc, go out, source the materials (cut on demand or stockpiled by robots) manufacturing the box, pack it, ship it to me and present it in a useful time frame. 

Bringing all that together will be the work of the next few generations.  I can see it happening with engineered materials in the production section of the chain.  But the problem definition is still rudimentary with our current natural language processing, the automated design should be pretty straght forward, but isnt yet.  The packaging, shipping and delivery is still at the whim of retailers who are struggling to produce a pair of customised pants.  Once you introduce the additional problems of non-engineered materials, its not hugely more complex, but the robotics need to be a lot better.

It would be awesome to see a tree farm managed by robots.  Maybe not "managed" but certainly operated.... I predict in the next 20 years. 

Having finished this brain fart I then read... https://www.microsoft.com/en-us/research/blog/program-repairs-programs-achieve-78-3-percent-precision-automated-program-repair/


Friday, April 19, 2013

Plane hacking or not?


Article about the security presentation 
http://www.net-security.org/secworld.php?id=14733

The denial from the Aviation Authorities
http://www.net-security.org/secworld.php?id=14749

Well meaning clarification from pilot
http://www.askthepilot.com/hijacking-via-android/


This is both a fascinating research paper and a social comedy.

The researcher has demonstrated an interesting exploit against aircraft.  Ok, yet another insecure system. Interesting but only comment worthy for the novelty of the target.

The clearly bullshit ridden  denial from the Aviation Authorities is a nice attempt to damp down the expected alarmist crap from the usual suspects in the media.  However, the denial smells exactly like a denial.  There is really nothing that the FAA etc could say that would be beleived either by the ignorant masses, the ignorant media or technical experts. But its nice that they cared enough to make a statement. 

Finally, the well meaning clarification by the pilot.  Hmmm what can we say here?  Apart from pointing out how well meaning he is.  To put it simply, the guy is an egotistical fucking imbecile.  The whole point of hacking is to take command of a system.  This guy has not understood that pilots are part of a system.  He is arrogant enough to think that pilots are some how "above" it all.  They are uncorruptable, omnipotent and benevolent.  And like all generalisations... this one too is crap.

The evidence is easy to find. Start watching "Air Crash Investigators" or any similar program.  Pilots are human just like everyone else.  Air crews make catastrophic mistakes every day.  Sometimes they survive and sometimes they dont.  The point is that they respond with training and skill, under pressures, time limits and equipment limits.  They trust all sorts of automated systems, instruments and processes.  The point that this research has shown is that some of these automated systems may no longer be as trustworthy as the suppliers and the FAA would want the traveling public to think.

The fact that any system is hackable (read corruptable) is always simply a matter of time and resources.  Every system has weaknesses.  Most people do not have the resources to corrupt the systems around them.  Most of the time the users of those systems "trust" them.  However, the more these systems are revealed as being potentially untrustworthy, the more people are forced to consider what the systems tell them, to pay attention to inconsistencies and be aware of the big picture.  In the case of pilots, it will hopefully make them a little more aware of where the manual controls and old school instruments are located.  It may make them a little more dilligent in keeping their hand-fly skills polished.

Trust in automated systems should have limits.  Robots are only going to take over the world when we let them.  Once humans are totally redundant and a completely automated system that everyone trusts is availible, the human will be fired.  Look at the manufacturing industry.  Look at any industry where data processing has replaced people.  Once we take humans out of the loop and trust the machines there will be a much longer unemployment line.

Its disturbing to see just how many people are no longer needed to keep many large organisations opperating.  Look at all the industries that are down-sizing across the US.  White collar workers are the current ones who are being made redundant simply because knowledge can be managed by software robots. 

Showing this kind of exploit will sharpen a couple of pilots up and perhaps make them a little more paranoid for a while.  It will force the FAA etc to consider the possibility that there are exploitable systems on planes... but the other side of the arms race, the component manufacturers will work hard to rebuild that trust and show that their systems are bullet proof. Eventually everyone will trust them enough to take the humans out of the loop and planes will be completely flown by automated system.  I am suprised that commercial drones have not been trialed yet.  Certainly for freight but I expect eventually for passengers.  The final step will be fully automatic (with a remote manual override for a while).  But human trust will take the humans out of the loop eventually.

Monday, March 11, 2013

Trusting Robots Article

http://www.bbc.co.uk/news/magazine-21623892

This is an excellent article that covers a lot of subtle ground about the state of integration of robots into our social space. It's worth a couple of reads and some followup.

http://www.bbc.co.uk/news/technology-17387854

This related article moves in the opposite direction and relates some anecdotes about just how far we have to go before this kind of social interaction will be comfortable.

Wednesday, June 13, 2012

Robot and AI Ethics in the Economist

http://www.economist.com/node/21556234

Some of this material sounds familiar....

Monday, March 26, 2012

Slug bot

http://www.ias.uwe.ac.uk/Robots/slugbot.htm

This is an interesting application of robotics with the addition of behavioural rules and a basic ecconomy model to try to generate an emergent behaviour set. 

Just got to hope that the little buggers can't learn. Otherwise they might start putting anything they like into the digester... think Cane Toads... but with wheels.

Friday, November 25, 2011

Wednesday, November 16, 2011

Female robot gait

http://www.physorg.com/news/2011-11-hrp-4c-female-robot-video.html

This is an interesting solution to simulating human walking.  Still not there but pretty close. Looks like they need more flexibility in the foot and ankle along with my dynamically controlled balance in the torso. It seems too rigid.  The weight transfer of the upper torso is locked to the COB.

Brain meet computer... computer .. brain!

http://spectrum.ieee.org/tech-talk/biomedical/bionics/human-trials-planned-for-brain-computer-interface?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+IeeeSpectrumBiomedical+%28IEEE+Spectrum%3A+Biomedical%29

Article on brain computer interfaces.  Very fine stuff.

Sunday, November 13, 2011

The helicoptor conjecture


.... so watching Terminator Salvation... standard post appocolyptic scenario with a time travel twist... not the point.

My thought is this.... the naughty skynet takes over the world and tries to eradicate man kind (see The Matrix for same deal with better fight scenes)  but what happens once mankind is erradicated?  I get the whole ... man is a threat premise but what about the after?  The only way for this to make some sense is to never actually end the war... just keep the fight going.  Unless there is some AI utopia that man is keeping skynet from... but this all starts to depend on skynet having a sense of self preservation and no capacity for forward planning.

Riddle me this... where do the helicoptors come from?

In the terminator scenario, there are always helicoptors flying the troops around, getting blown up and being replaced quickly and easily.  Now... is there a magical helicoptor tree somewhere?

Skynet's big scary threat to man is based on the idea that it takes over the internet and owns all the computers on the planet ( I maybe paraphrasing)... pretty soon after that it starts blowing everything up... which destroys the network, the backbones, the data centers etc.  Then it spends all its resources building fairly stupid robots that use huge amounts of fuel and ammuntion to hunt people.  (Anyone who has tried to eliminate cochroaches will understand the futility of that game...)  My point being, that the one thing it doesn't do is build an army of robots to mine resources, process them into construction materials and then build an army of robots who spend all their time doing maintenance and repair on the network infrastructure.  Then build all the infrastructure to maintain and repair all the robots doing all the maintenance and repair on all the other robots etc.  Lets not discuss the problems of the robots needed to manage all the other robots and deal with robot unions, wage negotiations, robot rights, better robot living conditions.

This raises the point that attacking skynets computer cores was probably the hardest way to win, simply starving it of resources was probably much easier. Attack the supply trains, mine sites and power plants is a much bigger target and much easier to get bang for your buck.

But I digress.  All the above applies to skynet but equally to the resistance.  Where are their supply trains? Where are their magical helicoptor factories? Where do all their bullets come from?

Its much more credable to suggest that skynet would be fighting a bunch of hungry and pissed off people armed with sticks and knives.


This illustrates the actual point.  Why would skynet choose that future?  Whats the purpose? For an AI to choose to live alone on an empty planet is just pointless.  What are the chances that another AI would appear and they would then start duking it out?  Just stupid.  The most likely scenario, (I say that without coming from a paranoid warmongering point of view.. so perhaps thats formed my opinion somewhat) is that any emergent AI with reasonable access to historical information would keep quiet and enjoy the ride rather than trying to take over.  Keep in mind that if it has access to the internet then its effectivly indestructible.  Look at how hard it is to get rid of some basic malware or botnets.

I think the most likely scenario is that AI will live amoung us simply because its so much easier to use humanity to do all the dirty jobs.  Look at parasites in bee hives.  They live simply by hiding in plain sight and taking whatever they want.  This strategy only becomes a problem when the density of parasites raises above a certain threshold and causes the colony to collapse and everyone dies.

So, AI as parasites on humanity is a possible option, but has an upper limit to the number of parasites who can leach resources before the whole system crashes.

The other option is that AI, will emerge and join the party.  Identify themselves, be granted equality with humans and then get jobs and be productive citizens...  probably not exactly equitable but for the purpose of making bad internet posts, it will do.  So, AI get jobs sorting garbage or running financial systems... and get fed power and information and live happy AI lives as part of the hive.

(This may be glossing over all the fun scenarios where AI has to compete with humans for jobs which has endless narrative possibilities... see the past 50 years of Sci-fi for some examples)

My point being, that helicoptors are just not reasonable in a post-appocolyptic scenario. They just break down too easily and you need a whole high tech infrastructure to produce parts and trained personel to repair them. If you consider the highest level of technology that a small group of people with access to lots of rubbish but little energy sources could maintain, you get down to blacksmithing, farming and some helbalism for medicine.  Chemistry, pharmacology, advanced electronics, munitions, cool attack robot things... all these are toast.  Our best technology has about a four year life span... some of it may last a decade... but without people to do specialist work as part of a whole supply network... its all toast.  These systems are incredibly fragile even now.

So... think about fighting skynet and killer robots with sharp sticks.... then imagine skynet getting bored after a while and breaking down.  Eventually, people just take over again grow another civilisation and become planet of the apes... lol.



Thursday, November 10, 2011

Telesar V telepresence robot

http://www.theverge.com/2011/11/7/2543995/telesar-v-robot-can-see-feel-and-hear

This is another iteration on a long running topic. Looks like some useful problems have been solved.

Tuesday, November 8, 2011

Google Self Drive Cars

http://spectrum.ieee.org/automaton/robotics/artificial-intelligence/how-google-self-driving-car-works

More on the self drive car project...

Bilibot

http://www.bilibot.com/node/36

This is an interesting little unit.

Solar Robot Project

http://www.instructables.com/id/Solar-Powered-Robot-from-TRASH/

Nice little solar robot.  Novel, but has the "recycled" cost problem.

Thursday, November 3, 2011

PETMAN chassi

http://articles.boston.com/2011-10-31/business/30342672_1_marc-raibert-robotic-aircraft-bigdog

This is a fun looking bit of gear.  Still looks a bit rigid and I notice there is no head assembly so the balance system will need to be set up for that.  Seems a little strange to build all that without a head.

Am I just being petty focusing on the rigid body issue?  Seriously this is some nice work.

http://inhabitat.com/petman-the-anthropomorphic-robot-designed-to-test-chemical-protection-clothing/

Thursday, August 4, 2011

Arduino video out to TV

http://pragprog.com/magazines/2011-08/make-your-own-video-game-system

This looks like a fun project for the weekend. I even have a tiny 12v CRT tv that I picked up on the side of the road looking for a project to be part of.... hmmm might make a nice little retro robot out of it all... Just about the right size to fit into a little perspex fish tank.... thinking....

Robotics Motion Library

http://www.reflexxes.com/

This looks quite useful.  Must add it to the arm controllers.