PPT-CS 7455 Term Project Robot control by Machine learning

William Hawkes Mobile Application Development Overview Project Description Objective Results Project ProcedureMethodology Robot construction Android App Raspberry Pi 3 Algorithms used for Computer Vision. Robot Obstacle domainofresponsibility (a)Robottoblame Robot Obstacle (b)Bothtoblame Robot domainofresponsibility (c)Sensor-dependentdo-mainofresponsibility Robot Obstacle b Collision (d)Collision,butb companions. and . ethics. a . pragmatical. . approach. of . ethical. design. March 26th 2011, Toulouse. Gerard. Cornet .  . ROBOTICS and MEDICINE—ROBOTIQUE et MEDECINE. TOULOUSE 24-25-26 Mars-March 2011. Mobile Robot Control. XCS and Implementation. XCS – An LCS variant where classifier fitness is based on the accuracy of prediction, not the prediction itself. Traditional LCS vs XCS. Genetic Algorithm acts on Action Sets. Sonia Chernova Manuela . Veloso. Carnegie Mellon University. Computer Science Department. Policy Development. Learning from Demonstration:. Access/select sensor data. Develop actions. Provide demonstrations. Gui. . Cavalcanti. 5/12/2011. Locomotion and Manipulation. Overview. Locomotion. Types of locomotion. Stability. Locomotion design. Models. Types of control. Gaits. Manipulation. Compliance. Forward . Gesubsidieerd door het Ministerie van Economische Zaken en de Provincie Noord-Brabant . Kees van Hee. 2. Teleoperated Service robots . Two components: master = . cockpit. and slave = . service robot . MicheleT.BannisterCurriculumVitaepage2 REFEREEDPUBLICATIONSOSSOS:IV.Discoveryofadwarfplanetcandidateinthe9:2resonancewithNeptune.M.T.BannisterandtheOSSOSCollaboration.SubmittedtoAJ.arXiv:1607.06970A “Dummies”. https. ://www.youtube.com/watch?v=46ivFpsmEVQ#t=. 356. Multi-Robot (Multi-Agent) Systems. Homogenous / Heterogeneous. Communicating / Non-Communicating. Cooperative / Competitive. Multi-Robot Systems. Adam Finkelstein. COS 116: Spring . 2012. Today: Understanding a simple robot. Why?. Larger goal: seek an answer to. . “. What is Computation?. ”. Acquire insight into technology that will . become pervasive within the next decade.. Daniele . Mazzei. , . Abolfazl. . Zaraki. , Nicole . Lazzeri. and . Danilo. De Rossi. Presentation by: Kaixi Wu. “Social Robots”. Humans are fascinated by robots that can understand and express emotions. Atkeson. , CMU. With input from Florian . Jentsch. , UCF . and . Jean Oh, CMU . (Robotics Collaborative Technology Alliance (RCTA), and Katia . Sycara. , CMU. . DARPA Robotics Challenge. DARPA Robotics Challenge: Lessons Learned. based. robot. Laura Balthazard. Semester. . project. Final . presentation. State of the project. First remote. Second remote. 2. Project. Making the previous remote working. Being able to control the locomotion of the . Sends commands to make a robot preform some movement without attempting to check if it is doing things properly.. For example a rover on Mars being told by a human operator to go forward 1 meter. If the wheels get dirt in them or hit a rock the robot won’t move straight.. Models! ... Model-free! ... Both!. Slides at www.cs.cmu.edu/~cga/mbl. Chris Atkeson, CMU Robotics Institute. RSS workshop on Robotics Retrospectives . July, 2020. What did I learn writing this paper? Two kinds of RL.