Enhancing Human-Robot Teleoperation through Depth Sensing and eXtended Reality

Teleoperation enables the control of robots in remote, complex, or hazardous environments such as manufacturing, healthcare, and disaster response. However, traditional teleoperation systems lack immersive depth perception, which limits spatial awareness and precision. This paper presents a novel teleoperation framework integrating an Intel RealSense D345i depth camera with the Reachy humanoid robot, enhanced by augmented reality (AR) overlays in a virtual reality (VR) interface. By leveraging depth sensing, point cloud processing, and AR visualization, the system improves task accuracy, spatial awareness, and user experience. Our system utilizes advanced frameworks for seamless AR and VR integration. Preliminary findings demonstrate enhanced performance in tasks requiring precise object manipulation, with future user studies planned for quantitative evaluation.

Authors

Institutions

Publication Details

Published
2025-03-08
DOI
https://doi.org/10.1109/vrw66409.2025.00221
Primary Topic
Teleoperation and Haptic Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Human-Robot Teleoperation through Depth Sensing and eXtended Reality

Hee-Jin Jeong, Shyam Ganatra
Teleoperation and Haptic Systems
article

Enhancing Human-Robot Teleoperation through Depth Sensing and eXtended Reality

Hee-Jin Jeong, Shyam Ganatra
article en

Abstract

Teleoperation enables the control of robots in remote, complex, or hazardous environments such as manufacturing, healthcare, and disaster response. However, traditional teleoperation systems lack immersive depth perception, which limits spatial awareness and precision. This paper presents a novel teleoperation framework integrating an Intel RealSense D345i depth camera with the Reachy humanoid robot, enhanced by augmented reality (AR) overlays in a virtual reality (VR) interface. By leveraging depth sensing, point cloud processing, and AR visualization, the system improves task accuracy, spatial awareness, and user experience. Our system utilizes advanced frameworks for seamless AR and VR integration. Preliminary findings demonstrate enhanced performance in tasks requiring precise object manipulation, with future user studies planned for quantitative evaluation.

Arizona State University (US)
Openalex Percentile: Top 92%
Teleoperation and Haptic Systems
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.