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AIPS
2008
13 years 10 months ago
Fast Dynamic Scheduling of Disjunctive Temporal Constraint Networks through Incremental Compilation
Autonomous systems operating in real-world environments must plan, schedule, and execute missions while robustly adapting to uncertainty and disturbance. One way to mitigate the e...
Julie A. Shah, Brian C. Williams
IJRR
2011
126views more  IJRR 2011»
13 years 2 months ago
Optimization and learning for rough terrain legged locomotion
We present a novel approach to legged locomotion over rough terrain that is thoroughly rooted in optimization. This approach relies on a hierarchy of fast, anytime algorithms to p...
Matthew Zucker, Nathan D. Ratliff, Martin Stolle, ...
IROS
2006
IEEE
113views Robotics» more  IROS 2006»
14 years 1 months ago
A Framework for Automatic Deployment of Robots in 2D and 3D Environments
Abstract— We present a computational framework for automatic deployment of robots in 2D and 3D rectangular environments with polytopal obstacles. The results are derived for poly...
Marius Kloetzer, Calin Belta
HICSS
1994
IEEE
155views Biometrics» more  HICSS 1994»
13 years 11 months ago
Concurrent Simulation and Control of Robot Tasks
In the area of telerobotics, where remote systems are to be controlled, it is helpful to plan subsequent operations based on as much relevant data as possible. The simulation of t...
Ulrich Mehlhaus
ICRA
2002
IEEE
141views Robotics» more  ICRA 2002»
14 years 15 days ago
Movement Imitation with Nonlinear Dynamical Systems in Humanoid Robots
This article presents a new approach to movement planning, on-line trajectory modification, and imitation learning by representing movement plans based on a set of nonlinear di...
Auke Jan Ijspeert, Jun Nakanishi, Stefan Schaal