Proposal of a Framework for Enhancing Teleoperation Experience with Biomechanical Simulation-Based Electrical Muscle Stimulation in Virtual Reality

Teleoperation, the remote manual control of robots, is primarily used in high-precision and safety-critical environments such as surgery, space exploration, and deep-sea exploration. Despite being a widely utilized technology, teleoperation relies on human cognitive abilities, leading to significant cognitive load for operators. To address this challenge, we propose a concept of a VR teleoperation haptic system that combines biomechanical simulation and electrical muscle stimulation to provide force feedback in a lightweight, wearable form by mimicking natural force generation without the need for external actuators. Our system is divided into two main components: the physical simulation part, which calculates the joint torques to replicate forces from the manipulator, and the electrical stimulation part, which translates torques into muscle stimulations. Through this integration, we expect our system to bridge the gulf of execution and evaluation, reducing cognitive load and enhancing teleoperation performance. This paper aims to discuss the detailed framework of our system and potential future research directions.

Authors

Institutions

Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1145/3675094.3678380
Citations
3
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.75
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proposal of a Framework for Enhancing Teleoperation Experience with Biomechanical Simulation-Based Electrical Muscle Stimulation in Virtual Reality

Yiyue Luo, Jeongju Park, Semoo Shin, Wojciech Matusik et al.
3 citations
Stroke Rehabilitation and Recovery
0.75
article

Proposal of a Framework for Enhancing Teleoperation Experience with Biomechanical Simulation-Based Electrical Muscle Stimulation in Virtual Reality

Yiyue Luo, Jeongju Park, Semoo Shin, Wojciech Matusik, Jeongseok Oh, SeungJun Kim, Seongjun Kang, Joseph DelPreto, Seokhyun Hwang, Daniela L. Rus
article en
3 citations

Abstract

Teleoperation, the remote manual control of robots, is primarily used in high-precision and safety-critical environments such as surgery, space exploration, and deep-sea exploration. Despite being a widely utilized technology, teleoperation relies on human cognitive abilities, leading to significant cognitive load for operators. To address this challenge, we propose a concept of a VR teleoperation haptic system that combines biomechanical simulation and electrical muscle stimulation to provide force feedback in a lightweight, wearable form by mimicking natural force generation without the need for external actuators. Our system is divided into two main components: the physical simulation part, which calculates the joint torques to replicate forces from the manipulator, and the electrical stimulation part, which translates torques into muscle stimulations. Through this integration, we expect our system to bridge the gulf of execution and evaluation, reducing cognitive load and enhancing teleoperation performance. This paper aims to discuss the detailed framework of our system and potential future research directions.

University of Washington (US), Gwangju Institute of Science and Technology (KR)
Openalex Percentile: Top 25%
Stroke Rehabilitation and Recovery
0.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Proposal of a Framework for Enhancing Teleoperation Experience with Biomechanical Simulation-Based Electrical Muscle Stimulation in Virtual Reality — Yiyue Luo, Jeongju Park, et al. · (2024) | TGRS Research Map | TGRS