Learning by Observation without Three-Dimensional Reconstruction

Abstract. This paper presents a basic skill of imitation learning from observation towards developmental cognitive robotics which aims at providing a new way to understand the cognitive process of human beings by realizing artificial systems based on the internal observer’s viewpoint. Unlike the conventional ones, the proposed method does not assume the global coordinate system in order to transform the observed motion in the demonstrator’s coordinate system to the learner’s one. Instead, the optic-geometrical constraint called “epipolar constraint” is used to reconstruct the view of the other agent, on which adaptive visual servoing is applied to imitate the observed motion. The experimental results and future issues are given.

[1]  H. C. Longuet-Higgins,et al.  A computer algorithm for reconstructing a scene from two projections , 1981, Nature.

[2]  Minoru Asada,et al.  Versatile visual servoing without knowledge of true Jacobian , 1994, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94).

[3]  Masayuki Inaba,et al.  Learning by watching: extracting reusable task knowledge from visual observation of human performance , 1994, IEEE Trans. Robotics Autom..

[4]  Katsushi Ikeuchi,et al.  Toward an assembly plan from observation. I. Task recognition with polyhedral objects , 1994, IEEE Trans. Robotics Autom..

[5]  Minoru Asada,et al.  Reasonable performance in less learning time by real robot based on incremental state space segmentation , 1996, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96.

[6]  M. Arbib,et al.  Language within our grasp , 1998, Trends in Neurosciences.

[7]  Minoru Asada,et al.  Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning and Development , 1999, Artif. Intell..

[8]  Y. Kuniyoshi,et al.  Toward Cognitive Robotics , 1999 .

[9]  Stefan Schaal,et al.  Is imitation learning the route to humanoid robots? , 1999, Trends in Cognitive Sciences.

[10]  Minoru Asada,et al.  Vision-based Learning and Development for Emergence of Robot Behaviors , 2004 .

[11]  Minoru Asada,et al.  Purposive Behavior Acquisition for a Real Robot by Vision-Based Reinforcement Learning , 2005, Machine Learning.