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Behnisch, Matthias: Task level motion planning : integrating local robot control and global sampling. 2012
Inhalt
Introduction
Integrating Control and Planning
Outline
Motion Control
Task Representation
Jacobian Pseudoinverse Motion Rate Control
Singularity Robust Motion Rate Control
Redundancy Resolution
Joint Limit Avoidance
Obstacle Avoidance
Examples
Humanoid Whole Body Motion
Task Attractor Dynamics
Instantaneous Motion Optimization
Constraints
Attractor Dynamics
Motion Rate Control
Relaxed Motion Control
Multiple Motion Objectives
Task Space Motion Optimization
Relaxed Whole Body Motion Control
Motion Planning
Planning as Optimization
The General Motion Planning Problem
Combinatorial Motion Planning
Sampling-Based Motion Planning
Random Trees
Bi-Directional Trees
Roadmaps
Challenges for Sampling-Based Planning
Hybrid Motion Planning
Task Level Planning
Formulation
Task Space Sampling
Dispersion Estimation
Dispersion Reduction Sampling
Task Space Dispersion Reduction
Simultaneous Task and Configuration Space Dispersion Reduction
Case Study: Simple Redundant Robot Model
Results
Discussion
Completeness
Hybrid Planning for Redundant Robots
Redundant Robot Motion Planning
A Hybrid Motion Planning Algorithm
A Control-Enhanced Motion Planning Algorithm
Simulation Framework
Evaluation
Task Representation
Configuration Space
Local Planning
Algorithm Implementation
Setup
Performance Metric
Results
Discussion
Bi-Manual Hybrid Planning
A Humanoid Motion Planning Experiment
Bi-Manual Motion Planning
Task Representation
Planning
Setup
Results
Discussion
Relaxed Control Hybrid Planning
Task Space Local Planning
Exploration and Exploitation
Hybrid Planning with Relaxed Motion Control
Exploration Heuristic
Exploitation Heuristic
Node Weighting
Evaluation
Algorithm Implementation
Local Planning
Setup
Performance Metric
Results
Discussion
Optimal Solutions
Conclusion
Hybrid Motion Planning
Outlook
Integrating the Attractor Dynamic
Bibliography