scispace - formally typeset
Open AccessBook

Robot Motion Planning

Reads0
Chats0
TLDR
This chapter discusses the configuration space of a Rigid Object, the challenges of dealing with uncertainty, and potential field methods for solving these problems.
Abstract
1 Introduction and Overview.- 2 Configuration Space of a Rigid Object.- 3 Obstacles in Configuration Space.- 4 Roadmap Methods.- 5 Exact Cell Decomposition.- 6 Approximate Cell Decomposition.- 7 Potential Field Methods.- 8 Multiple Moving Objects.- 9 Kinematic Constraints.- 10 Dealing with Uncertainty.- 11 Movable Objects.- Prospects.- Appendix A Basic Mathematics.- Appendix B Computational Complexity.- Appendix C Graph Searching.- Appendix D Sweep-Line Algorithm.- References.

read more

Citations
More filters
Journal ArticleDOI

Issues in closed-loop needle steering

TL;DR: In this paper, the authors review recent progress made in each of the complementary components that constitute a closed-loop needle steering system, including modelling needle-tissue interaction, sensing needle deflection, controlling needle trajectory, and hardware implementation.
Book ChapterDOI

The CMUnited-98 Champion Simulator Team

TL;DR: This chapter describes the complete CMUnited-98 software, emphasizing the recent improvements.
Journal ArticleDOI

Navigation protocols in sensor networks

TL;DR: Algorithms for computing distributed maps in perception space and for using these maps to compute adaptive paths for a mobile node that can interact with the sensor network are presented.
Journal ArticleDOI

Exact Minkowksi sums of polyhedra and exact and efficient decomposition of polyhedra in convex pieces

TL;DR: This work presents the first exact and robust implementation of the 3D Minkowski sum of two non-convex polyhedra, and implements an efficient decomposition that yields a small number of convex pieces.
Journal ArticleDOI

Sensor-Driven Area Coverage for an Autonomous Fixed-Wing Unmanned Aerial Vehicle

TL;DR: This paper develops a fully automated and robust platform for performing aerial imagery surveys by including the already developed automatic takeoff and landing capabilities and extends the branch entropy concept previously developed for autonomous underwater vehicles to UAVs.