Weiqiang Zhang

Papers

Total Citations

H-Index

About

Weiqiang Zhang is a researcher whose work bridges intelligent sensing and autonomous robotics, with a particular focus on developing high-performance tactile sensors and robust navigation algorithms. His most impactful contribution is the design of a multi-sized planar capacitive pressure sensor, published in 2021, which achieves ultra-high sensitivity—a breakthrough that has already garnered 71 citations and holds significant promise for applications in human-machine interaction and soft robotics. In parallel, Zhang has advanced the field of autonomous mobile robotics through his work on adaptive ground segmentation. His 2017 paper introduced a real-time method for distinguishing obstacles from traversable terrain in unknown environments, a critical capability for safe robot navigation that has earned 7 citations. By tackling both the sensing and perception challenges in robotics, Zhang demonstrates a systems-level approach to enabling machines to interact more intelligently with their surroundings. His achievements reflect a commitment to solving practical, real-world problems—from enhancing robotic autonomy to creating more responsive tactile interfaces—making his research highly relevant for students and engineers working at the intersection of sensor technology and autonomous systems.