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机译:
Robotics Institute and Mechanical Engineering Department, Carnegie Mellon University, Pittsburgh, PA, USA;
Department of Mechnical Engineering, Texas A&M University, College Station, TX, USA;
Method of moments; Search problems; Planning; Costs; Path planning; Optimization; Visualization;
机译:Department of Civil Engineering Researcher Discusses Findings in Automobile Safety (Novel Traffic Conflict-Based Framework for Real-Time Traffic Safety Evaluation Under Heterogeneous and Weak Lane-Discipline Traffic)
机译:An Evolutionary Multiagent Framework for Multiobjective Optimization
机译:Findings from University of Texas Austin Has Provided New Data on Robotics and Automation (Socialmapf: Optimal and Efficient Multiagent Path Finding With Strategic Agents for Social Navigation)
机译:使用pG2N prime Graph multiagent search进行半因子分解