Yiyang He
Papers
1
Total Citations
2
H-Index
1
About
Yiyang He is a rising researcher at the intersection of robotics, human-machine interaction, and artificial intelligence, with a primary focus on advancing bimanual teleoperation systems. His most-cited work, "Large language model-driven natural language interaction control framework for single-operator bimanual teleoperation" (2025, 2 citations), introduces a novel paradigm that leverages large language models to enable a single human operator to control two robotic arms simultaneously through intuitive natural language commands. This contribution directly addresses the critical challenge of cognitive overload and coordination demands inherent in bimanual tasks, offering a streamlined alternative to multi-operator setups that often suffer from decision authority ambiguities. By integrating LLMs into the control loop, He’s framework reduces operator workload while enhancing task efficiency and precision, marking a significant step toward more accessible and intelligent robotic systems. Though early in his career, his work has already garnered attention for its innovative fusion of language models with real-time robotic control, positioning him as a promising voice in human-robot collaboration. His research holds transformative potential for applications in manufacturing, surgery, and remote exploration, where intuitive, single-operator control of complex robotic systems is paramount.
Research Focus
Key Achievements
Top Papers
- 1