Papers
8
Total Citations
144
H-Index
6
About
Dingyi Pei is a leading researcher at the intersection of human-robot interaction, rehabilitation robotics, and motor neuroscience. Their work focuses on developing intuitive, synergy-based control systems that bridge the gap between human motor control and robotic assistance. Pei’s most impactful contribution is the development of HEXOES (Hand Exoskeleton with Embedded Synergies), a soft, lightweight exoskeleton that uses kinematic synergies for myoelectric control—a breakthrough that has garnered 74 citations and offers new hope for restoring activities of daily living in stroke survivors. Expanding beyond rehabilitation, Pei has pioneered biomimetic approaches to teaching humanoid robots natural hand gestures, leveraging musculoskeletal synergies to enable more fluid human-robot collaboration. Their recent work, including the 2024 paper “Emerging Frontiers in Human–Robot Interaction” (26 citations), explores multimodal communication channels—touch, sight, and learning—to create more intuitive robotic partners. With over 144 total citations across their portfolio, Pei has also contributed to foundational texts on synergy, cognition, and emotion in robotics, cementing their role as a key architect of next-generation assistive and collaborative robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Myoelectric Control of a Soft Hand Exoskeleton Using Kinematic Synergies74 citations · 2019
- 2Emerging Frontiers in Human–Robot Interaction26 citations · 2024
- 3Biomimetic learning of hand gestures in a humanoid robot12 citations · 2024
- 4Musculoskeletal Synergies in the Grasping Hand11 citations · 2022
- 5Learning Hand Gestures using Synergies in a Humanoid Robot6 citations · 2023
- 6Dynamic Control of Virtual Hand Grasp Using Spatiotemporal Synergies6 citations · 2019
- 7
- 8New Horizons in Human–Robot Interaction: Synergy, Cognition, and Emotion4 citations · 2024