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102
Voted
ICRA
2009
IEEE
139views Robotics» more  ICRA 2009»
15 years 7 months ago
Transfer of knowledge for a climbing Virtual Human: A reinforcement learning approach
— In the reinforcement learning literature, transfer is the capability to reuse on a new problem what has been learnt from previous experiences on similar problems. Adapting tran...
Benoit Libeau, Alain Micaelli, Olivier Sigaud
93
Voted
IROS
2007
IEEE
309views Robotics» more  IROS 2007»
15 years 6 months ago
3D relative pose estimation from distance-only measurements
Abstract— In this paper, we develop an algorithm for determining the relative position and attitude of two robots moving in 3D, using only dead-reckoning and inter-robot distance...
Nikolas Trawny, Xun S. Zhou, Ke X. Zhou, Stergios ...
101
Voted
AIIA
2005
Springer
15 years 6 months ago
Anchoring by Imitation Learning in Conceptual Spaces
Abstract. In order to have a robotic system able to effectively learn by imitation, and not merely reproduce the movements of a human teacher, the system should have the capabiliti...
Antonio Chella, Haris Dindo, Ignazio Infantino
IROS
2009
IEEE
177views Robotics» more  IROS 2009»
15 years 7 months ago
A learning approach to integration of layers of a hybrid control architecture
— Hybrid deliberative-reactive control architectures are a popular and effective approach to the control of robotic navigation applications. However, the design of said architect...
Matthew Powers, Tucker R. Balch
ICML
2009
IEEE
16 years 1 months ago
Trajectory prediction: learning to map situations to robot trajectories
Trajectory planning and optimization is a fundamental problem in articulated robotics. Algorithms used typically for this problem compute optimal trajectories from scratch in a ne...
Nikolay Jetchev, Marc Toussaint