In the Dual Arm Manipulation & Decision Laboratory, you can observe the capabilities of a dual-arm robot performing table setting tasks under uncertainty. This lab focuses on enhancing the decision-making skills of the robot while it interacts with various objects. The ultimate goal is to develop a system that can intelligently adapt to changing environments and tasks, choosing its next action and which gripper to use autonomously based on several factors of its (spatial) environment.
Currently, the lab showcases two heuristics: The Opportunistic Planning Model (OPM) for action selection, and the Dual-Arm Grasp Action Planner (DAGAP) which decides which gripper to use.
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