Difference between revisions of "Independent Study for Biobots, A Continuation"
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Revision as of 18:36, 14 March 2007
Biobots continued ...
The overall goal for this project is to further our work from the Biologically Inspired Robots class, specifically representing the behavio(u)r of robots, co-design of physical systems and software, creation of virtual worlds for behavior testing, fidelity testing between physical and virtual models, and tracking course progress in a way that is educationally valuable to future users.
A course in which the three participants attempt to build a real robot, made out of
this is a block quote from wikipedia: http://en.wikipedia.org/wiki/Lego
Design and manufacture Since their introduction in 1949, Lego pieces of all varieties have been, first and foremost, part of a universal "system". Despite tremendous variation in the design and purpose of individual pieces over the years, each remains compatible in some way with existing pieces. Lego bricks from 1963 still interlock with those made in 2007, and Lego sets for young children are compatible with those made for teenagers. Bricks, beams, axles, minifigures, and all other elements in the Lego system are manufactured to an exacting degree of tolerance. When snapped together, pieces must have just the right amount of "clutch power"; they must stay together until pulled apart. They cannot be too easy to pull apart, or the resulting constructions would be unstable; they also cannot be too difficult to pull apart, since the disassembly of one creation in order to build another is part of the Lego appeal. In order for pieces to have just the right "clutch power", Lego elements are manufactured within a tolerance of 2 µm. Since 1963, Lego pieces are manufactured from a strong, resilient plastic known as acrylonitrile butadiene styrene, or ABS. Precision-machined, small-capacity moulds are used, and human inspectors check the output of the moulds, to eliminate significant variations in colour or thickness. Worn-out moulds are encased in the foundations of buildings to prevent their falling into competitors' hands. According to the Lego Group, its moulding processes are so accurate that only 18 bricks out of every million fail to meet its stringent standards. It is thanks to this care in manufacturing that the Lego Group has maintained such a high degree of quality over the decades. Manufacturing of Lego bricks occurs at a number of locations around the world. Moulding is done at one of two plants in Denmark and Switzerland. Brick decorations and packaging is done at plants in Denmark, Switzerland, United States, South Korea and the Czech Republic. Annual production of Lego bricks averages approximately 20 billion (2 × 1010) per year, or about 600 pieces per second.
1. Brooks, Rodney. "Intelligence Without Representation." Artificial Intelligence 47 (1991): 139-159.
2. Agarwal, Pankaj K., Leonidas J. Guibas, Herbert Edelsbrunner, et al. "Algorithmic Issues in Modeling Motion."
This article is based on the report of the Workshop on Algorithmic Issues in Modeling Motion, sponsored by an NSF grant CCR-00-83-033 and an Army Research Office grant DAAD 19-00-1-0478, held on August 6 and 7, 2000 at Duke University, Durham, NC.
3. Dalvand, Mohsen M., and Majid M. Moghadam. "Stair Climber Smart Mobile Robot (MSRox)." Autonomous Robots 20, 1 (January 2006): 3-14
We got the robot kits in this week and started playing with the part. We each built our own prototype and discussed possible tasks we would want the robot to perform.
Our current status is that we have performed a prototype evaluation of the following locomotion strategies and decided upon a strategy for our prototype:
-inchworm style (accordian type motion with a wheel climbing up the stair) -flipping and crawling (having body segments that lift other body segments up onto the stair) -tri-wheel front crawler (which we are currently going with, so more about this later) -tank tread type design (we may come back to this one)
We got the tri-wheel idea from the paper Stair Climber Smart Mobile Robot (MSRox) in Autonomous Robots (I've attached a zip of the article html), which also has some nice comparisons of locomotive strategies and good ideas for analysis.
Our robot will have three wheels on each of the right and left sides of the front axle. These wheels will roll when the robot is moving around on flat ground, and the entire assembly will tumble and pull the robot up stairs/obstacles when the robot is in climbing mode. There will be a single set of rear wheels, which may or may not be powered.
The current design has a single motor for the tumbling/climbing aspect, and two motors for each side (L/R) for normal rolling motion and to enable turning. As there are three sensors ports on the NXT brick, our current thinking is to have ultrasonic sonar distance detectors for all three of these sensors, though possibly we could use the compass sensor for mapping purposes. The sonars would point straight ahead and diagonally up, then we have an option of either straight behind or forward looking down to the ground, we'll have to figure this out later on. Better would be to have a single sonar that we can change the direction of, but this would take up a motor and necessitate another NXT brick in the model, and this could cause problems with tangled wires.
We've built the prototype of the front of the robot with the single tumbling motor and the triangular wheel frames. We have also built a test frame for the sensors (basically a carriage with four wheels, a forward looking and diagonally upward looking sonar) that we've playing around with writing code for. We took measurements on the spiral-ish staircase in Bossone to check the height and length of the stairs, and used this in conjunction with our sensor test frame to start coming up with algorithms for the robot to determine how high of an obstacle it can climb. We have also starting writing a basic control program for the robot and loaded them onto the NXT brick.
Next Steps -come up with a good name for the robot -start on the virtual model of this style of locomotion, also model the Bossone stairwell environment in Adams -work on the wiki page to document work to date -come up with a definition of the behaviors for the robot (possibly a flow chart) -figure out the programming environment (currently we are using the Lego graphical environment, which doesn't provide enough control) -start programming the behaviors of the robot -complete the physical prototype (add rear wheels, add gear structure to triangular wheel assembly, add drive motors, decide on a sensor package)
We have investigated different programming environments which we found on this site: http://www.teamhassenplug.org/NXT/NXTSoftware.html Out of these we chose to start experimenting with RobotC which has a 30 day free evaluation. The main issue we have found so far is that there is only a windows version (and two of our group members have Macs). It also list on the evaluation site that it does not support the bluetooth capability. We have run simple programs to power the motors and use the sonar sensor.
This is also the first week we have been able to test the tumbling motion on a "stair." Currently, we are using a NXT box as our stair. On the first test we realized that one motor for tumbling would not be powerful enough, so we added a second motor - one to power each triskelion. Next we needed a motor to the back with two wheels. This added additional force to move the robot forward. This allowed the robot to climb half a stair. The robot went through many alterations over two days. We added a one to three treads and eventually came to the conclusion that we needed a new design because the tumbling motion does not have even power to lift the weight of the robot over a stair.
This week we started running
can we put 1 or 3 or 2 treads, either back r and left, or back r and l and one diagonal middle one, or one diagonal middle one, does this interfere with sonar or normal mobility?
physical design and algorithm work
http://www.botmag.com/articles/vex_1.shtml can we have an onboard video camera or better yet an onboard video camera that we deposit in a maze and solve the art gallery security man placement problem?
pictures of the geometric sensing
picture of the flow chart for the driving algorithm