activity
20202025
most citedTowards Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control

84 citations · 89 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025

Exploring Embodied Emotional Communication: A Human-oriented Review of Mediated Social Touch

Liwen He, Zichun Guo, Yanru Mo +2

This paper offers a structured understanding of mediated social touch (MST) using a human-oriented approach, through an extensive review of literature spanning tactile interfaces,…

cs.RO2023

Virtual Physical Coupling of Two Lower-Limb Exoskeletons

Emek Barış Küçüktabak, Yue Wen, Matthew Short +3

Physical interaction between individuals plays an important role in human motor learning and performance during shared tasks. Using robotic devices, researchers have studied the ef…

cs.RO2023★ 4 cited

Haptic Transparency and Interaction Force Control for a Lower-Limb Exoskeleton

Emek Barış Küçüktabak, Yue Wen, Sangjoon J. Kim +6

Controlling the interaction forces between a human and an exoskeleton is crucial for providing transparency or adjusting assistance or resistance levels. However, it is an open pro…

eess.SY2020★ 1 cited

Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration

Xiang Gao, Jennie Si, Yue Wen +3

We are motivated by the real challenges presented in a human-robot system to develop new designs that are efficient at data level and with performance guarantees such as stability…

eess.SY2020★ 84 cited

Towards Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control

Minhan Li, Yue Wen, Xiang Gao +2

Personalizing medical devices such as lower limb wearable robots is challenging. While the initial feasibility of automating the process of knee prosthesis control parameter tuning…