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Proceedings Paper

Design and implementation of an autonomous spill-cleaning robotic system
Author(s): ChuXin Chen; Mohan M. Trivedi; Clint R. Bidlack
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Paper Abstract

The paper describes the main ideas and principles of HAP (Hybrid representation of Actions and Plans), a system for hybrid representation and reasoning in advanced robotics. In this context, hybrid representation refers to the integration of both symbolic and analogic knowledge representation paradigms. In particular, the logic/symbolic component is based on a KL-ONE-like representation language. The system embeds "analogic experts", that are concurrent procedures operating in a direct and fast way on the world representation. These "experts" help the system in planning a correct temporal sequence of actions. As a reference scenario, assembly (and disassembly) problems are considered. The assembly problem can be decomposed in several suitable concurrent sub-tasks, which involves both robotic aspects as navigation, obstacle avoidance, grasping, and AI aspects as action planning and world representation. As a case study, the paper discusses the assembly of a complex object from parts as an experimental paradigm for planning movements of a redundant robot in an unstructured environment.

Paper Details

Date Published: 1 January 1990
PDF: 13 pages
Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); doi: 10.1117/12.21118
Show Author Affiliations
ChuXin Chen, Univ. of Tennessee/Knoxville (United States)
Mohan M. Trivedi, Univ. of Tennessee/Knoxville (United States)
Clint R. Bidlack, Univ. of Tennessee/Knoxville (United States)


Published in SPIE Proceedings Vol. 1293:
Applications of Artificial Intelligence VIII
Mohan M. Trivedi, Editor(s)

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