Papers
3
Total Citations
22
H-Index
3
About
Jialiang Zhao is a robotics researcher whose work spans robotic manipulation, tactile sensing, grasp planning, and autonomous systems. His research addresses some of the most pressing challenges in modern robotics, particularly the development of intelligent, adaptive end-effectors capable of precise and reliable interaction with the physical world. Zhao's most notable contribution is GelLink, a compact multi-phalanx robotic finger that integrates vision-based tactile sensing with proprioception, earning 10 citations since its 2024 publication. This work advances the field of underactuated robotic hands by leveraging GelSight-style sensors to overcome the inherent state estimation challenges that typically limit such designs. His earlier research on task-oriented grasp planning for robotic assembly demonstrates a commitment to bridging perception and manipulation, proposing methods that incorporate object geometry and task preconditions to achieve robust, precise grasps — a contribution that has garnered 7 citations. His foundational work on an autonomous tennis ball collection machine, cited 5 times, reflects an early and enduring interest in computer vision-driven autonomous systems. Collectively, Zhao's research represents a thoughtful progression from autonomous navigation toward sophisticated tactile-enabled manipulation, making his work highly relevant to researchers pursuing next-generation robotic dexterity.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3