Jianhua Mai

Papers

Total Citations

112

H-Index

About

Jianhua Mai is a leading researcher in human-robot interaction and computer vision, with a particular focus on intuitive, markerless control systems. His most influential work, "Markerless Kinect-Based Hand Tracking for Robot Teleoperation" (2012, 112 citations), introduced a groundbreaking real-time method for remotely controlling robots using natural hand gestures. By processing depth images from the Kinect sensor, Mai developed an algorithm that accurately estimates the 3D positions of the index finger and thumb, allowing the hand pose to directly specify a robot's end-effector pose. This contribution eliminated the need for cumbersome wearable markers or controllers, significantly advancing the accessibility and fluidity of teleoperation. His research has been pivotal in bridging the gap between human dexterity and robotic precision, with applications spanning manufacturing, assistive robotics, and remote manipulation. Mai’s work continues to inspire new approaches in vision-based human-robot interfaces, demonstrating how consumer-grade sensors can be harnessed for complex robotic tasks.