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PHOTORESISTOR ALGORITHMS - 0 views

  • pseudocode: read left_photoresistor read right_photoresistor if left_photoresistor detects more light than right_photoresistor then turn robot left if right_photoresistor detects more light than left_photoresistor then turn robot right if right_photoresistor detects about the same as left_photoresistor then robot goes straight loop
  • Photovore Algorithm, Improved This algorithm does the same as the original, but instead of case-based it works under a more advanced Fuzzy Logic control algorithm. Your robot will no longer just have the three modes of turn left, turn right, and go forward. Instead will have commands like 'turn left by 10 degrees' or 'turn right really fast', and with no additional lines of code! pseudocode: read left_photoresistor read right_photoresistor left_motor = (left_photoresistor - right_photoresistor) * arbitrary_constant right_motor = (right_photoresistor - left_photoresistor) * arbitrary_constant loop
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  • Photovore, Split Brain Approach This algorithm works without comparison of photoresistor values. Instead, just command the right motor based on light from the right sensor, and the left motor with only data from the left sensor. You can also get interesting variations by reversing the sensors for a cross-Brain algorithm. pseudocode: read left_photoresistor read right_photoresistor move left_wheel_speed = left_photoresistor * arbitrary_constant move right_wheel_speed = right_photoresistor * arbitrary_constant loop
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    The photovore is a robot that chases light, and is perhaps the simplest of all sensor algorithms. If you are a beginner, this should be your first algorithm.
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Inside The Ugobe Pleo - Organic Robot Life - 0 views

  • CALEB CHUNG: Of course we could have used micro-servo motors to accomplish the motion of Pleo, but we aren’t able to use expensive motors. So we had to engineer it with a high-speed motor with high gearing and no backlash for control purposes and have it all fit within the muscle envelope of Pleo.
  • So what we did was go after a lot of ethology research. How do animals really handle the complexity of their environment? We built a virtual brain—a whole system that decides how Pleo will react in various situations.
  • CALEB CHUNG: Pleo will reset thresholds and adjust his idea of what he thinks is normal. Let’s say you get Pleo and you take him home to your shag carpet. When Pleo walks, the carpet will drag on his feet. So his force feedback sensors will realize that he is spending too much energy to walk around. Pleo will try different things to reduce the energy spent. Eventually, he will have the idea to step higher. Your Pleo compared to my Pleo will walk with a higher step.
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  • Eventually, we got to the point where we don’t know what Pleo will do next because he learns. If Caleb and I went to your house to see your Pleo, we couldn’t predict a lot of the things he would do, even though we know everything we put in him. Pleo has the ability to change and figure things out on his own.
  • Consumers will be able to download and customize Pleo later this year or early next year. We want to give the user the ability to change Pleo’s personality, animations and tricks. We also want to allow developers and hobbyists to take the SDK and motion system and behavior system and choreograph advanced features and animations for new AI functionality.
  • We didn’t include a camera (or voice recognition) in Pleo because of the price point for the product. Pleo is probably a good hack for a CMU camera, and we want people to develop these sorts of things.
  • The only way you can create life is to give it choice. Life is very complex, and it has to evolve, otherwise it is a robot. The only way to get complex systems to work is to let them chose for themselves.
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    Pleo is UGOBE's first designer Life Form and is based on the Camarasaurus dinosaur. He is made up of an amazing array of sensors, motors  (14!), and distributed computing with an ARM-7 processor commanding it all.
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以腦髓液為動力的微型機器人在以色列問世 - 0 views

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    簡介:以色列海法Technion 大學的Moshe Shoham 博士與其研究小組已經成功地研製出了一種新型的微型機器人動力系統,使其能夠以腦髓液為動力在人體椎管中運動。
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BEAM Online > About BEAM - 0 views

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    BEAM robotics is the brain child of Mark W. Tilden who is currently working at "Los Alamos National Laboratory" in Los Alamos, New Mexico, US. BEAM robotics as described in the BEAM rule book: 1/: A description of what aspects a roving robot creature coul
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