Papers
1
Total Citations
17
H-Index
1
About
Yaoyu Cheng is a rising researcher at the intersection of human-robot interaction (HRI) and assistive robotics, with a focus on developing intuitive interfaces for individuals with physical disabilities. Their most-cited work, "An Effective Head-Based HRI for 6D Robotic Grasping Using Mixed Reality" (2023, 17 citations), addresses a critical gap in assistive technology: enabling people with two-arm disabilities to grasp densely placed objects using only head movements. By integrating mixed reality with a head-based control system, Cheng’s approach overcomes the limitations of slower, less precise language- and gaze-based interfaces, allowing users to command a robotic arm for six-degree-of-freedom grasping tasks. This contribution not only advances the field of arm-free HRI but also demonstrates a practical, real-world solution for enhancing independence in daily life. Cheng’s work is notable for its user-centered design and potential to transform assistive robotics, making complex manipulation tasks accessible to those with severe motor impairments. With growing recognition in the HRI community, Cheng is poised to make further strides in inclusive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1An Effective Head-Based HRI for 6D Robotic Grasping Using Mixed Reality17 citations · 2023