Papers
9
Total Citations
72
H-Index
3
About
Christopher Yee Wong is a robotics researcher whose work spans physical human–robot interaction, tactile sensing, and assistive robotics. His most impactful contribution, a 2023 paper with 32 citations, introduces a vision- and tactile-based multimodal system that uses skin-like tactile sensors to detect human contact on collaborative robots, enabling safer and more intuitive physical human–robot interaction. Wong further advances this theme with his 2022 work on "touch semantics," which allows nonexperts to physically manipulate humanoids for direct motion adjustments—a paradigm that saves time and increases usability. His research also extends to legged locomotion, including posture reconfiguration on wheel-legged hydraulic robots, and to impedance control for humanoids, where he developed an optimizationless method for gravity compensation. Beyond industrial robotics, Wong explores applications in healthcare and accessibility, contributing to single-cell manipulation for embryo biopsy and proposing robotic systems to assist the visually impaired. He has also introduced the novel concept of "sensor observability analysis" for maximizing task-space observability in articulated robots. With over 70 cumulative citations across his publications, Wong is establishing himself as a versatile roboticist whose work bridges fundamental control theory, multimodal sensing, and real-world assistive applications.
Research Focus
Key Achievements
Top Papers
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- 3Touch Semantics for Intuitive Physical Manipulation of Humanoids13 citations · 2022
- 4Automation of Single Cell Manipulation for Embryo Biopsy3 citations · 2017
- 5Perspectives on Robotic Systems for the Visually Impaired2 citations · 2024
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