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IJRR
2010
132views more  IJRR 2010»
13 years 7 months ago
LQR-trees: Feedback Motion Planning via Sums-of-Squares Verification
Advances in the direct computation of Lyapunov functions using convex optimization make it possible to efficiently evaluate regions of attraction for smooth nonlinear systems. Her...
Russ Tedrake, Ian R. Manchester, Mark Tobenkin, Jo...
ICRA
2009
IEEE
101views Robotics» more  ICRA 2009»
14 years 4 months ago
Global vector field computation for feedback motion planning
— We present a global vector field computation algorithm in configuration spaces for smooth feedback motion planning. Our algorithm performs approximate cell decomposition in t...
Liangjun Zhang, Steven M. LaValle, Dinesh Manocha
ICRA
2007
IEEE
138views Robotics» more  ICRA 2007»
14 years 4 months ago
Where's Waldo? Sensor-Based Temporal Logic Motion Planning
— Given a robot model and a class of admissible environments, this paper provides a framework for automatically and verifiably composing controllers that satisfy high level task...
Hadas Kress-Gazit, Georgios E. Fainekos, George J....
SWAT
1998
Springer
84views Algorithms» more  SWAT 1998»
14 years 2 months ago
Models and Motion Planning
We study the complexity of the motion planning problem for a bounded-reach robot in the situation where the n obstacles in its workspace satisfy two of the realistic models propos...
Mark de Berg, Matthew J. Katz, Mark H. Overmars, A...
NIPS
1993
13 years 11 months ago
Robust Reinforcement Learning in Motion Planning
While exploring to nd better solutions, an agent performing online reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, ...
Satinder P. Singh, Andrew G. Barto, Roderic A. Gru...