Papers
1
Total Citations
2
H-Index
1
About
Jordan Ninin’s research lies at the intersection of robotics, control theory, and optimization, with a particular focus on nonholonomic systems—those whose motion is constrained by differential equations, such as wheeled robots, boats, and aircraft. His most cited work, “Computing Capture Tubes” (2016), addresses a fundamental challenge in robotics: ensuring that nonholonomic robots, which must obey constraints like a minimum turning radius, can reliably reach a target while avoiding obstacles. Ninin’s major contribution is the development of computational methods for constructing “capture tubes”—sets of initial states from which a robot can successfully achieve a goal under given constraints. This work has practical implications for autonomous navigation in complex environments, from self-driving cars to marine vessels. While his citation count is modest, the conceptual depth of his research provides a foundation for safer, more predictable robot motion planning. Ninin’s achievements include advancing the theoretical understanding of reachability under differential constraints, offering tools that bridge control theory and real-world robotics applications.
Research Focus
Key Achievements
Top Papers
- 1Computing Capture Tubes2 citations · 2016