HAP: a hybrid system for reasoning about actions and plans in robotics

Antonio Camurri; Marcello Frixione; Salvatore Gaglio; Renato Zaccaria

doi:10.1117/12.21112

1 January 1990 HAP: a hybrid system for reasoning about actions and plans in robotics

Antonio Camurri, Marcello Frixione, Salvatore Gaglio, Renato Zaccaria

Proceedings Volume 1293, Applications of Artificial Intelligence VIII; (1990) https://doi.org/10.1117/12.21112
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

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.

Citation Download Citation

Antonio Camurri, Marcello Frixione, Salvatore Gaglio, and Renato Zaccaria "HAP: a hybrid system for reasoning about actions and plans in robotics", Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); https://doi.org/10.1117/12.21112

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