1. VR-based Robot Teleoperation: Developing immersive virtual environments for intuitive robot control
This research focuses on developing an intuitive VR-based teleoperation system utilizing hand-tracking technology for efficient remote robot control. The study integrates advanced virtual reality (VR) techniques with a master–slave robot system to address limitations in traditional telemanipulation, such as spatial perception and limited control precision.
The key innovation lies in replacing conventional handheld controllers with direct hand-tracking inputs. This approach allows operators to use their virtual hands, precisely replicating real-world movements in a virtual environment, thereby enhancing control accuracy and user experience. Additionally, the system introduces a URDF-free robot importing method using advanced algorithms for seamless integration of robotic models into the VR platform.
In confined environments like hot cells, the VR-based system reconstructs and visualizes the workspace using RGB-D cameras, providing 3D visual feedback. This visualization approach improves task efficiency and reduces operator fatigue by minimizing issues like depth ambiguity.
Through this research, we aim to set a new standard in VR-based teleoperation by enhancing spatial awareness, control precision, and interaction for applications in nuclear facilities and beyond. The developed system is expected to pave the way for safer and more intuitive remote robotic operations in complex and hazardous environments.
1. VR-based Robot Teleoperation: Developing immersive virtual environments for intuitive robot control
This research focuses on developing an intuitive VR-based teleoperation system utilizing hand-tracking technology for efficient remote robot control. The study integrates advanced virtual reality (VR) techniques with a master–slave robot system to address limitations in traditional telemanipulation, such as spatial perception and limited control precision.
The key innovation lies in replacing conventional handheld controllers with direct hand-tracking inputs. This approach allows operators to use their virtual hands, precisely replicating real-world movements in a virtual environment, thereby enhancing control accuracy and user experience. Additionally, the system introduces a URDF-free robot importing method using advanced algorithms for seamless integration of robotic models into the VR platform.
In confined environments like hot cells, the VR-based system reconstructs and visualizes the workspace using RGB-D cameras, providing 3D visual feedback. This visualization approach improves task efficiency and reduces operator fatigue by minimizing issues like depth ambiguity.
Through this research, we aim to set a new standard in VR-based teleoperation by enhancing spatial awareness, control precision, and interaction for applications in nuclear facilities and beyond. The developed system is expected to pave the way for safer and more intuitive remote robotic operations in complex and hazardous environments.