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» Robot trajectory optimization using approximate inference
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ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
13 years 6 months ago
Learning and planning high-dimensional physical trajectories via structured Lagrangians
— We consider the problem of finding sufficiently simple models of high-dimensional physical systems that are consistent with observed trajectories, and using these models to s...
Paul Vernaza, Daniel D. Lee, Seung-Joon Yi
ICRA
2009
IEEE
169views Robotics» more  ICRA 2009»
14 years 2 months ago
Task-level imitation learning using variance-based movement optimization
— Recent advances in the field of humanoid robotics increase the complexity of the tasks that such robots can perform. This makes it increasingly difficult and inconvenient to ...
Manuel Mühlig, Michael Gienger, Sven Hellbach...
ICCSA
2005
Springer
14 years 1 months ago
Ascent Phase Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming
In this paper we present a nonlinear programming solution to one of the most challenging problems in trajectory optimization. Unlike most aerospace trajectory optimization problems...
H. M. Prasanna, D. Ghose, M. S. Bhat, Chiranjib Bh...
ICRA
2003
IEEE
114views Robotics» more  ICRA 2003»
14 years 27 days ago
Robotic catching using a direct mapping from visual information to motor command
— In this paper a robotic catching algorithm based on a nonlinear mapping of visual information to the desired trajectory is proposed. The nonlinear mapping is optimized by learn...
Akio Namiki, Masatoshi Ishikawa
DIAGRAMS
2004
Springer
14 years 1 months ago
A Prototype Inference Engine for Rule-Based Geometric Reasoning
Abstract. Isaac is a rule-based visual language for mobile robots using evidential reasoning and a fuzzy inference engine. A prototype inference engine for Isaac has been implement...
Joseph J. Pfeiffer Jr.