Xueqian Wang

About

Xueqian Wang is a prolific robotics researcher whose work spans soft robotics, tactile sensing, autonomous navigation, and robotic control systems. His research has made significant strides in bridging intelligent sensing technologies with real-world robotic applications, particularly in unstructured and challenging environments. Wang's highly cited work on tactile sensing for soft grippers (224 citations) and flexible sensing technologies for soft robots (144 citations) has helped establish foundational frameworks for how robots perceive and interact with their surroundings. His development of ionic hydrogel-based strain-triboelectric sensors (145 citations) demonstrates a creative fusion of materials science and wearable robotics. Beyond sensing, Wang has advanced underwater soft robotics (98 citations), pipeline-crawling pneumatic robots (97 citations), and obstacle-avoidance algorithms using dynamic control barrier functions (117 citations), showcasing remarkable breadth. His contributions to adaptive sliding mode control (105 citations) and uneven terrain navigation (75 citations) further reflect his command of both theoretical and applied robotics. With early work on space robotic systems dating to 2009, Wang has sustained a trajectory of innovation across more than a decade, accumulating well over 1,000 citations and cementing his reputation as a leading voice in intelligent and embodied robotics research.

Research Focus

Key Achievements

Top Papers

1. 1
   Recent Progress in Advanced Tactile Sensing Technologies for Soft Grippers

   224 citations · 2023
2. 2
   All-in-one strain-triboelectric sensors based on environment-friendly ionic hydrogel for wearable sensing and underwater soft robotic grasping

   145 citations · 2023
3. 3
   Advanced Flexible Sensing Technologies for Soft Robots

   144 citations · 2024
4. 4
   Dynamic Control Barrier Function-based Model Predictive Control to Safety-Critical Obstacle-Avoidance of Mobile Robot

   117 citations · 2023
5. 5
   Adaptive sliding mode control for uncertain Euler–Lagrange systems with input saturation

   105 citations · 2021
6. 6
   Recent Advances on Underwater Soft Robots

   98 citations · 2023
7. 7
   Design and Modeling of a Parallel-Pipe-Crawling Pneumatic Soft Robot

   97 citations · 2019
8. 8
   PUTN: A Plane-fitting based Uneven Terrain Navigation Framework

   75 citations · 2022
9. 9
   Study on Non-holonomic Cartesian Path Planning of a Free-Floating Space Robotic System

   66 citations · 2009
10. 10
    Visual–Tactile Fusion for Transparent Object Grasping in Complex Backgrounds

    64 citations · 2023

Key Collaborators

Contact & Links