Towards a Real-Time Bayesian Imitation System for a Humanoid Robot
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Towards a Real-Time Bayesian Imitation System for a Humanoid Robot •Imitation learning, or programming by demonstration, could allow robots to acquire domain- specific skills directly from humans. •We have prototyped a real- time closed-loop system for teaching a humanoid robot to interact with objects in its environment. Aaron P. Shon, Joshua J. Storz, Rajesh P.N. Rao Department of Computer Science and Engineering, University of Washington, Seattle WA USA
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Towards a Real-Time Bayesian Imitation System for a Humanoid Robot. Aaron P. Shon, Joshua J. Storz, Rajesh P.N. Rao Department of Computer Science and Engineering , University of Washington, Seattle WA USA. - PowerPoint PPT Presentation
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Towards a Real-Time Bayesian Imitation System for a Humanoid Robot
• Imitation learning, or programming by demonstration, could allow robots to acquire domain-specific skills directly from humans.
• We have prototyped a real-time closed-loop system for teaching a humanoid robot to interact with objects in its environment.
• Nonparametric Bayesian inference is used to determine an optimal action (out of directly observed actions) given current object configuration and a goal.
Aaron P. Shon, Joshua J. Storz, Rajesh P.N. RaoDepartment of Computer Science and Engineering, University of Washington,
Seattle WA USA