NSF CPS Project

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Overview

Research goal of our NSF CPS project is to develop algorithms for intelligent robotics which tightly integrate probabilistic perception and deterministic planning in a verifiable framework. Current activities include: 1) Developing representations for constructing and maintaining models of complex environments; 2) Developing methods to anticipate changes in the environment and use them as part of planning; 3) Developing task planning methods that provide probabilistic guarantees for high-level behaviors. The educational goal is to educate students in interdisciplinary CS and engineering projects and courses, particularly those related to intelligent robotics.

Research Projects

Multi-Path Planning

Synthesized controllers and obstacle prediction

Environment reconstruction

Publications Related to this project

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