Grasping Living Objects With Adversarial Behaviors Using Inverse Reinforcement Learning
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DOI: 10.1109/tro.2022.3226108
Abstract: Living objects are difficult to grasp since they can actively elude capture by adopting adversarial behaviors that are extremely hard to model or predict. In this case, an inappropriately strong contact force may hurt the… read more here.
Keywords: reinforcement learning; hand; living objects; living object ... See more keywords