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Open AccessProceedings Article

Complexity of the Mover's Problem and Generalizations Extended Abstract

John H. Reif
- pp 421-427
TLDR
This paper concerns the problem of moving a polyhedron through Euclidean space while avoiding polyhedral obstacles.
About
This article is published in Foundations of Computer Science.The article was published on 1979-01-01 and is currently open access. It has received 803 citations till now.

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Citations
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MonographDOI

Planning Algorithms: Introductory Material

TL;DR: This coherent and comprehensive book unifies material from several sources, including robotics, control theory, artificial intelligence, and algorithms, into planning under differential constraints that arise when automating the motions of virtually any mechanical system.
Proceedings ArticleDOI

RRT-connect: An efficient approach to single-query path planning

TL;DR: A simple and efficient randomized algorithm is presented for solving single-query path planning problems in high-dimensional configuration spaces by incrementally building two rapidly-exploring random trees rooted at the start and the goal configurations.
Journal ArticleDOI

Randomized kinodynamic planning

TL;DR: In this paper, the authors presented the first randomized approach to kinodynamic planning (also known as trajectory planning or trajectory design), where the task is to determine control inputs to drive a robot from an unknown position to an unknown target.
Posted Content

Sampling-based Algorithms for Optimal Motion Planning

TL;DR: The main contribution of the paper is the introduction of new algorithms, namely, PRM and RRT*, which are provably asymptotically optimal, i.e. such that the cost of the returned solution converges almost surely to the optimum.
Book

Real Algebraic Geometry

TL;DR: The Tarski-Seidenberg Principle as a Transfer Tool for Real Algebraic Geometry as mentioned in this paper is a transfer tool for real algebraic geometry, and it can be used to solve the Hilbert's 17th Problem.
References
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Journal ArticleDOI

An algorithm for planning collision-free paths among polyhedral obstacles

TL;DR: A collision avoidance algorithm for planning a safe path for a polyhedral object moving among known polyhedral objects that transforms the obstacles so that they represent the locus of forbidden positions for an arbitrary reference point on the moving object.
Journal ArticleDOI

Relationships between nondeterministic and deterministic tape complexities

TL;DR: The amount of storage needed to simulate a nondeterministic tape bounded Turingmachine on a deterministic Turing machine is investigated and a specific set is produced, namely the set of all codings of threadable mazes, such that, if there is any set which distinguishes nondeter microscopic complexity classes from deterministic tape complexity classes, then this is one such set.
ReportDOI

A mobius automation: an application of artificial intelligence techniques

TL;DR: The main theme of the research is the integration of the necessary planning systems, models of the world, and sensory processing systems into an efficient whole capable of performing a wide range of tasks in a real environment.
ReportDOI

Modelling, trajectory calculation and servoing of a computer controlled arm

TL;DR: In modelling the author uses a symbolic data structure to represent objects in the environment and a planning program interprets symbolic arm control instructions and generates a plan consisting of arm motions and hand actions.
Book

Collision detection and avoidance in computer controlled manipulators

TL;DR: It is shown how the principles of hierarchical decomposition can be used to reduce the complexity of the manipulator trajectory planning problem and how it is possible to decompose the planning task so as to get the best of both cartesian space and joint space representations, and yet avoid the constant conversion overhead problem.
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