thereby satisfyingthe requirements of quick implementation of robust planning ofautomated delivery services.KEYWORDSAutonomousRobotManagementSystem;Multi-AgentPathFinding;Stochastic Travel Time; Bayesian Inference1 INTRODUCTIONExpectationsfordeliveryservicesusingautomatedrobotsarerisingbecause of the increasing demand for ...
Learning team-based navigation: a review of deep reinforcement learning techniques for multi-agent pathfinding Multi-agent pathfinding (MAPF) is a critical field in many large-scale robotic applications, often being the fundamental step in multi-agent systems. The i... J Chung,J Fayyad,YA Younes...
Systems and techniques are provided for tracking multi joint subjects in real space having a plurality of cameras. The field of view of each camera overlaps with at least one other
“Bioactive agent” or “active agent” or “biomolecule”, used here synonymously, refers to any organic or inorganic agent that actively or passively influences a biological system. For example, a bioactive agent can be an amino acid, peptide, antimicrobial peptide, immunoglobulin, an activating,...
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning. IEEE Robot. Autom. Lett. 2019, 4, 2378–2385. [Google Scholar] [CrossRef] Wang, C.; Cheng, J.; Wang, J.; Li, X.; Meng, M.Q.-H. Efficient Object Search With Belief Road Map Using Mobile Robot. IEEE Syst. ...