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

• Asıl Yazarlar: Jong In Han (Yazar), Jeong-Hoon Lee (Yazar), Ho Seon Choi (Yazar), Jung-Hoon Kim (Yazar), Jongeun Choi (Yazar)
• Materyal Türü: Kitap
• Baskı/Yayın Bilgisi: IEEE, 2022-01-01T00:00:00Z.
• Konular: article
• Online Erişim: 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...