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Tsung-Chi Lin

8 accepted papers

2024

Reducing Performance Variability and Overcoming Limited Spatial Ability: Targeted Training for Remote Robot Teleoperation

IROS 2024

In this paper, we present a targeted training approach for remote teleoperation aimed at achieving consistent proficiency levels across users with varying capabilities. Our approach begins by assessing users’ abilities to perform robot motion control, workspace adaptation, and gripper control. It th

Cited by 0SourceScholar
2023

Human Preferred Augmented Reality Visual Cues for Remote Robot Manipulation Assistance: from Direct to Supervisory Control

IROS 2023poster

When humans control or supervise remote robot manipulation, augmented reality (AR) visual cues overlaid on the remote camera video stream can effectively enhance human's remote perception of task and robot states, and comprehension of the robot autonomy's capability and intent. In this work, we cond…

Cited by 4SourceScholar
2023

The Impacts of Unreliable Autonomy in Human-Robot Collaboration on Shared and Supervisory Control for Remote Manipulation

RA-L 2023

This work compared human-robot shared and supervisory control of remote robots for dexterous manipulation, and examined how the reliability of robot autonomy affects human operator performance, workload, and preference for robot assistance. Specifically, we implemented two human-robot collaboration

Cited by 9SourceScholar
2022

Comparison of Haptic and Augmented Reality Visual Cues for Assisting Tele- manipulation

ICRA 2022poster

Robot teleoperation via human motion tracking has been proven to be easy to learn, intuitive to operate, and facilitate faster task execution than existing baselines. However, precise control while performing the dexterous telemanipulation tasks is still a challenge. In this paper, we implement sens…

Cited by 28SourceScholar
2020

Shared Autonomous Interface for Reducing Physical Effort in Robot Teleoperation via Human Motion Mapping

ICRA 2020poster

Motion mapping is an intuitive method of teleoperation with a low learning curve. Our previous study investigates the physical fatigue caused by teleoperating a robot to perform general-purpose assistive tasks and this fatigue affects the operator's performance. The results from that study indicate…

Cited by 46SourceScholar
2019

Physical Fatigue Analysis of Assistive Robot Teleoperation via Whole-body Motion Mapping

IROS 2019poster

Robot teleoperation via motion mapping has been demonstrated to be an efficient and intuitive approach for controlling and teaching the whole-body motion coordination of humanoid robots. However, the physical fatigue in the usage of such robot teleoperation interfaces may prevent this approach to be…

Cited by 36SourceScholar