Jiaxi Jiang

Papers

Total Citations

H-Index

About

Jiaxi Jiang is a leading researcher in robotics and human-robot interaction, with a focus on advancing teleoperation systems through multimodal sensing and deep learning. His major contributions center on developing intuitive, low-cost interfaces that bridge human dexterity with robotic manipulation. In his highly cited work, "A Mobile Robot Hand-Arm Teleoperation System by Vision and IMU" (2020), Jiang introduced Transteleop, a novel vision-based hand pose regression network that uses a depth camera to estimate joint angles and hand dynamics in real time. Combined with IMU-based arm tracking, this system enables mobile robots to replicate complex human hand-arm motions without expensive instrumentation. The paper has accumulated over 68 citations, reflecting its impact on accessible teleoperation research. Jiang’s work is notable for democratizing robotic control—replacing costly data gloves and motion capture suits with affordable sensors while maintaining high precision. His achievements highlight a commitment to making advanced robotic systems practical for real-world applications, from assistive robotics to remote manipulation in hazardous environments.