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Human-Robot Collaborative Teleoperation for Remote Construction Tasks via Natural Wearable Sensing

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As humans further explore the boundaries of space, certain tasks have become increasingly difficult for direct human involvement due to factors such as travel distance, task complexity, and risk, all of which should be evaluated before a mission. Human-robot collaboration has emerged as a critical component in overcoming these challenges in space exploration. This study develops a natural wearable sensing-based human-robot collaborative teleoperation framework for space applications, enabling users to remotely control a robot arm using a state-of-the-art Vicon Motion Capture System (MCS). The MSC captures the user's motion and velocity in real time to guide the robot along an optimized trajectory and complete a complex task that may also be encountered in space environments. Experimental results have demonstrated high accuracy and precision of the developed approach, highlighting the potential of advanced human-robot systems in enabling effective and safe space task collaborations.

Original languageEnglish
Title of host publication2025 IEEE MIT Undergraduate Research Technology Conference, URTC 2025 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331559373
DOIs
StatePublished - 2025
Event2025 IEEE MIT Undergraduate Research Technology Conference, URTC 2025 - Cambridge, United States
Duration: 10 Oct 202512 Oct 2025

Publication series

Name2025 IEEE MIT Undergraduate Research Technology Conference, URTC 2025 - Conference Proceedings

Conference

Conference2025 IEEE MIT Undergraduate Research Technology Conference, URTC 2025
Country/TerritoryUnited States
CityCambridge
Period10/10/2512/10/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • human-robot collaboration
  • real-time control
  • Robotics
  • space
  • wearable sensing

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