Papers
15
Total Citations
1,006
H-Index
11
About
Shiquan Wang is a robotics researcher whose work spans space robotics, underwater manipulation, and bio-inspired climbing systems. Drawing on principles from gecko adhesion, spine-based gripping, and compliant mechanism design, Wang has made significant contributions to robotic grasping in extreme and unstructured environments. Among Wang's most influential contributions is the development of gecko-inspired adhesive grippers for microgravity manipulation, a landmark 2017 study that has garnered over 320 citations and demonstrated a practical solution to the long-standing challenge of handling uncooperative objects in space. Equally impactful is Wang's involvement in the Ocean One project — a humanoid underwater robotic avatar — and the design of its adaptive, tendon-driven hands, which together have accumulated over 400 citations and represent a major advance in deep-sea teleoperation. Wang has also advanced the science of spine-based climbing, developing linearly-constrained micro-spine arrays and stochastic contact models that enable human-scale robots to navigate steep, rocky terrain. Additional innovations in underwater fingertip suction further demonstrate Wang's versatility in solving manipulation challenges across radically different environments. With nearly 1,000 total citations, Wang's research continues to shape the frontiers of field and planetary robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Ocean One: A Robotic Avatar for Oceanic Discovery240 citations · 2016
- 3The Ocean One hands: An adaptive design for robust marine manipulation162 citations · 2017
- 4SpinyHand: Contact Load Sharing for a Human-Scale Climbing Robot49 citations · 2019
- 5A palm for a rock climbing robot based on dense arrays of micro-spines46 citations · 2016
- 6
- 7Stochastic models of compliant spine arrays for rough surface grasping36 citations · 2018
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