Yongqiang Zhu

About

Yongqiang Zhu is a leading researcher in advanced robotics, with a primary focus on wall-climbing robots (WCRs) and multi-axle, all-wheel-steering systems. His most impactful work, the 2024 review "Review of advancements in wall climbing robot techniques" (27 citations), systematically catalogs breakthroughs in navigating curved surfaces and transitioning between walls, establishing a foundational reference for the field. Zhu has made pivotal contributions to steering flexibility, proposing three novel control schemes for multi-axle wheeled robots to overcome the degraded maneuverability caused by numerous wheels (11 citations). He further advanced obstacle avoidance with a window-zone division strategy for multi-steering-mode robots. Notably, Zhu developed CREST, a target-point-based wall-climbing robot capable of spatial traversal and obstacle avoidance, and pioneered a walking soft robot driven by internal electromagnetism, reducing reliance on large external fields. With over 48 total citations across his top works, Zhu’s innovations in climbing mechanisms, adaptive transitioning, and soft robotics are shaping the next generation of agile, autonomous robots for inspection, exploration, and beyond.

Research Focus

Key Achievements

Top Papers

1. 1
   Review of advancements in wall climbing robot techniques

   27 citations · 2024
2. 2
   Study on control schemes of flexible steering system of a multi-axle all-wheel-steering robot

   11 citations · 2016
3. 3
   Local obstacle avoidance control for multi-axle and multi-steering-mode wheeled robot based on window-zone division strategy

   4 citations · 2024
4. 4
   CREST: A target-point-based wall-climbing robot capable of spatial traversal and obstacle avoidance

   4 citations · 2024
5. 5
   A walking soft robot driven by electromagnetism inside the body

   2 citations · 2024

Key Collaborators

Contact & Links