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CI
2005
106views more  CI 2005»
14 years 9 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
EWCBR
2008
Springer
14 years 11 months ago
Knowledge Planning and Learned Personalization for Web-Based Case Adaptation
How to endow case-based reasoning systems with effective case adaptation capabilities is a classic problem. A significant impediment to developing automated adaptation procedures i...
David B. Leake, Jay H. Powell
IROS
2007
IEEE
109views Robotics» more  IROS 2007»
15 years 4 months ago
Planning for robust execution of humanoid motions using future perceptive capability
— We present an approach to motion planning for highly articulated systems that aims to ensure robust execution by augmenting the planning process to reason about the robot’s a...
Philipp Michel, Christian Scheurer, James J. Kuffn...
ICRA
2009
IEEE
152views Robotics» more  ICRA 2009»
15 years 4 months ago
Reachability-guided sampling for planning under differential constraints
— Rapidly-exploring Random Trees (RRTs) are widely used to solve large planning problems where the scope prohibits the feasibility of deterministic solvers, but the efficiency o...
Alexander C. Shkolnik, Matthew Walter, Russ Tedrak...
ICRA
2009
IEEE
176views Robotics» more  ICRA 2009»
15 years 4 months ago
Path planning in 1000+ dimensions using a task-space Voronoi bias
— The reduction of the kinematics and/or dynamics of a high-DOF robotic manipulator to a low-dimension “task space” has proven to be an invaluable tool for designing feedback...
Alexander C. Shkolnik, Russ Tedrake