We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
We present an algorithm that quickly finds optimal plans for unforeseen agent preferences within graph-based planning domains where actions have deterministic outcomes and action ...
This paper presents a novel approach to solve the constrained unit commitment problem using Selective Self-Adaptive Ant System (SSAS) for improving search performance by automatic...
This paper studies a load scheduling strategy with nearoptimal processing time leveraging the computational characteristics of parallel DNA sequence alignment algorithms, specific...
This paper presents a randomized motion planner for kinodynamic asteroidavoidanceproblems, in which a robot must avoid collision with moving obstacles under kinematic, dynamic con...
Robert Kindel, David Hsu, Jean-Claude Latombe, Ste...