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» Adaptive Path Planner for Highly Dynamic Environments
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IROS
2008
IEEE
169views Robotics» more  IROS 2008»
15 years 3 months ago
On-line planning of time-optimal, jerk-limited trajectories
Abstract— Service robots which directly interact with humans in highly unstructured, unpredictable and dynamic environments must be able to flexibly adapt their motion in reacti...
Robert Haschke, Erik Weitnauer, Helge Ritter
AROBOTS
2002
98views more  AROBOTS 2002»
14 years 9 months ago
Dynamically-Stable Motion Planning for Humanoid Robots
We present an approach to path planning for humanoid robots that computes dynamically-stable, collision-free trajectories from full-body posture goals. Given a geometric model of t...
James J. Kuffner Jr., Satoshi Kagami, Koichi Nishi...
KBSE
2008
IEEE
15 years 3 months ago
Composition of Qualitative Adaptation Policies
In a highly dynamic environment, software systems requires a capacity of self-adaptation to fit the environment and the user needs evolution, which increases the software archite...
Franck Chauvel, Olivier Barais, Isabelle Borne, Je...
ICRA
2002
IEEE
187views Robotics» more  ICRA 2002»
15 years 2 months ago
Trajectory Planning using Reachable-State Density Functions
:This paper presents a trajectory planning algorithm for mobile robots which may be subject to kinodynamic constraints. Using computational methods from noncommutative harmonic ana...
Richard Mason, Joel W. Burdick
GECCO
2003
Springer
163views Optimization» more  GECCO 2003»
15 years 2 months ago
Swarms in Dynamic Environments
Charged particle swarm optimization (CPSO) is well suited to the dynamic search problem since inter-particle repulsion maintains population diversity and good tracking can be achie...
T. M. Blackwell