Papers
28
Total Citations
769
H-Index
16
About
Long Wang is a robotics researcher whose work spans surgical robotics, continuum robot mechanics, soft robotics, and intelligent sensing systems. He is perhaps best known for his contributions to the Insertable Robotic Effectors Platform (IREP), a pioneering system for Single Port Access Surgery that integrates continuum snake-like arms and parallel mechanisms into a compact surgical tool — work that has garnered over 100 citations and demonstrated real promise for minimally invasive procedures. Wang has made significant strides in modeling the complex physical behaviors of continuum robots, including friction, coupling, and calibration errors, addressing critical barriers to their autonomous deployment in clinical settings. His research further extends to soft robotics, where he developed modal-based frameworks for kinematics and contact detection in deformable robots. A distinctive thread throughout his portfolio is the use of intelligent palpation strategies — employing Bayesian optimization and utility-guided approaches — to autonomously map tissue stiffness and detect abnormalities, bridging robotics and surgical diagnostics. With over 560 combined citations across his most-recognized works, Wang's research meaningfully advances the precision, safety, and autonomy of next-generation robotic surgical systems.
Research Focus
Key Achievements
Top Papers
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- 3Modal-Based Kinematics and Contact Detection of Soft Robots74 citations · 2020
- 4A highly-underactuated robotic hand with force and joint angle sensors66 citations · 2011
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- 10Utility-Guided Palpation for Locating Tissue Abnormalities28 citations · 2017