Policy Design for an Ankle-Foot Orthosis Using Simulated Physical Human–Robot Interaction via Deep Reinforcement Learning

• Päätekijät: Jong In Han (Tekijä), Jeong-Hoon Lee (Tekijä), Ho Seon Choi (Tekijä), Jung-Hoon Kim (Tekijä), Jongeun Choi (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: IEEE, 2022-01-01T00:00:00Z.
• Aiheet: article
• Linkit: Connect to this object online.

This paper presents a novel approach for designing a robotic orthosis controller considering physical human-robot interaction (pHRI). Computer simulation for this human-robot system can be advantageous in terms of time and cost due to the laborious nature of designing a robot controller that effecti...