Papers
7
Total Citations
119
H-Index
5
About
Yao Su is a pioneering roboticist whose research spans supernumerary robotic limbs, bipedal locomotion, multi-limbed climbing robots, and cooperative multi-robot systems. His most impactful work, "Modeling and Balance Control of Supernumerary Robotic Limb for Overhead Tasks" (44 citations), introduces wearable robotic solutions that expand human workspace in confined environments, addressing critical challenges in collaborative overhead manipulation. Su's CDM-MPC framework (25 citations) represents a breakthrough in bipedal robot jumping, integrating dynamic planning and control to enable acrobatic maneuvers without oversimplifying dynamics—a key advancement for humanoid agility. His contributions to multi-limbed climbing robots (20 citations) resolve static indeterminacy modeling, allowing robots to estimate and prevent climbing failures on vertical surfaces. Su also excels in cooperative robotics, as demonstrated by his tethered robot duo system for object gathering (12 citations), and in accessible robotics through WalkingBot (11 citations), a modular legged robot platform enabling non-expert users to build and control custom morphologies. His recent work on large-scale deployment of vision-based tactile sensors on multi-fingered grippers (5 citations) pushes the boundaries of tactile sensing for dexterous manipulation. With over 119 total citations across his most cited works, Su's research consistently bridges theoretical modeling with practical robotic systems, making him a leading figure in wearable robotics, legged locomotion, and cooperative manipulation.
Research Focus
Key Achievements
Top Papers
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- 4Object Gathering With a Tethered Robot Duo12 citations · 2022
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