Discrete models for robot path planning.

Item

Title
Discrete models for robot path planning.
Identifier
AAI9315446
identifier
9315446
Creator
Austin, Shermane Annette.
Contributor
Adviser: Michael Anshel
Date
1993
Language
English
Publisher
City University of New York.
Subject
Computer Science
Abstract
Our purpose in this work is to investigate the applications of discrete models for a restricted class of robot-planning problems. A high-level planner is formulated that uses the structural characteristics of workcell configurations as a basis for path-planning. The planner also provides a logical framework for representing and reasoning about positional information with procedural interfaces for processing descriptions of objects and robots in the workcell, and the low-level details of motion control.;We begin with a discussion of domain-independent planners and explore some of the special requirements for robot planning. Following this discussion, we develop and formulate a poset-based model. Motivated by investigations undertaken by Thuk-Air et al of k-directional relations, we use restricted directional posets to capture the underlying properties of objects in workcell configurations. We extend Thuk-Air's formulation of bi-directional relations by showing how arbitrary finite posets can be expanded to obtain bi-directional relations. We then further define and characterize a restricted class of directional posets, {dollar}k\sb2{dollar} and {dollar}quad\sb2{dollar}, to better approximate motion-planning in a high-level planner. We also formulate a class of posets, goal posets, as a basis for goal-directed path-planning analysis. This analysis together with the directed relation induced by a given configuration allows us to determine whether or not the objects can be moved in a straight line to their goal locations.;Finally, a directional logic is defined, using the directional posets as a basis for control. We illustrate its implementation with separability problems involving restricted direction assignments. Concurrent planning is also discussed and explored in these examples.
Type
dissertation
Source
PQT Legacy CUNY.xlsx
degree
Ph.D.
Item sets
CUNY Legacy ETDs