Xuechun Yuan
Papers
1
Total Citations
2
H-Index
1
About
Xuechun Yuan is a researcher focused on advancing human-robot interaction through the integration of virtual reality and teleoperation systems. Their primary research areas include mobile robotics, teleoperation, and virtual reality simulation, with a particular emphasis on overcoming the challenges of time delay in remote robot control. Yuan's most cited work, "Route Planning of Teleoperation Mobile Robot based on the Virtual Reality Technology" (2020), addresses a critical bottleneck in teleoperation—the latency caused by distance between operator and robot. By simulating the robot's motion trajectory using VR technology, Yuan proposed an innovative method to predict and compensate for delays, enabling more intuitive and efficient control in complex environments. This contribution has garnered 2 citations, laying groundwork for safer, more responsive teleoperation systems in hazardous or inaccessible settings. Yuan's research holds promise for applications in disaster response, remote exploration, and industrial automation, where real-time operator feedback is essential. Their work exemplifies the growing synergy between virtual environments and physical robotics, offering practical solutions to enhance operator situational awareness and system reliability.
Research Focus
Key Achievements
Top Papers
- 1