Papers
8
Total Citations
109
H-Index
5
About
Jijie Xu is a robotics researcher whose work spans dexterous robotic manipulation, multifingered hand systems, and assistive robotics technologies. Over the course of his career, Xu has made foundational contributions to the theoretical and computational understanding of how robotic hands perform complex, large-scale manipulation tasks — particularly through the study of finger gaits, the strategic repositioning of robotic fingers that enables manipulation beyond what simple rolling or sliding motions can achieve. Xu's most influential body of work develops kinematic and planning frameworks for multifingered robotic hands, including pioneering the use of hybrid automaton models to formally capture the discrete and continuous dynamics of finger gaiting. His sampling-based planning algorithms brought practical computational solutions to this challenging problem, collectively earning dozens of citations across the robotics community. His 2008 hybrid automaton model alone has garnered 23 citations, reflecting its lasting methodological impact. Beyond manipulation theory, Xu contributed to applied assistive robotics through his work on the Personal Mobility and Manipulation Appliance (PerMMA), a robotic system designed to restore functional independence for individuals with severe physical disabilities — his most-cited contribution with 26 citations. Together, his research bridges rigorous theoretical foundations with meaningful real-world human benefit.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Kinematic Model of Finger Gaits by Multifingered Hand as Hybrid Automaton23 citations · 2008
- 3Sampling-based finger gaits planning for multifingered robotic hand21 citations · 2009
- 4Force Analysis of Whole Hand Grasp by Multifingered Robotic Hand18 citations · 2007
- 5Finger gaits planning for multifingered manipulation12 citations · 2007
- 6
- 7Hybrid Automaton: A Better Model of Finger Gaits3 citations · 2006
- 8