Physics for Robots.
Abstract
Robots that plan to perform everyday tasks need knowledge of everyday physics. Physics For Robots (PFR) is representation of part of everyday physics directed towards this need. It includes general concepts and theories along with an application specific portion for tasks in cooking. PFR goes beyond the representation schemes of most AI planners by including natural processes that the robot can control. It also includes a theory of material composition so robots can identify and reason about physical objects that break apart, come together, mix, or go out of existence. This focus is made on the characterization of knowledge with (1) PFR characterizes the robot's capabilities to act and perceive, and (2) PFR replaces the NP goal of developing models of actual common sense knowledge. The goal of PFR is to represent the knowledge about everyday physics that is needed to prove the effectiveness of certain robot Input/Output programs in accomplishing given tasks. It is expected that this knowledge will be needed by a robot that can plan to perform such everyday tasks. Keywords: Artificial intelligence; Knowledge representation; Reasoning; Planning qualitative physics; Robotics.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1987
- Accession Number
- ADA189056
Entities
People
- James G. Schmolze
Organizations
- BBN Technologies