Papers
2
Total Citations
15
H-Index
2
About
Teng Ye is a researcher at the intersection of robotics, human-robot interaction, and team dynamics, with a focus on enabling more natural and effective collaboration between humans and machines. In their most-cited work, Ye tackles the fundamental challenge of humanoid robot control, developing a novel inverse kinematics solution that fuses Denavit–Hartenberg parameters with screw theory. This approach allows a robot arm to replicate human motion in real time using a Kinect sensor, offering a direct and computationally efficient closed-form solution—a critical step toward intuitive teleoperation and assistive robotics. Beyond kinematics, Ye investigates the social dimensions of robot-supported teams. Their experimental study on dyadic teams using embodied physical action (EPA) robots reveals how team potency and ethnic diversity shape individual performance and perceived viability, contributing valuable insights to the design of inclusive, effective human-robot teams. With over 15 citations across their core publications, Ye’s work bridges technical robotics and social science, advancing both the mechanics of imitation and the psychology of collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2