Papers
5
Total Citations
58
H-Index
3
About
Jean B. Lasserre’s research elegantly bridges the gap between abstract mathematical theory and the physical realities of robotic movement. His primary contributions lie at the intersection of **optimization, control theory, and robot motion planning**, where he redefines how robots translate high-level actions into low-level motor commands. Lasserre’s seminal work, “Geometric and Numerical Foundations of Movements” (2017, 26 citations), provides a rigorous framework for understanding motion as a geometric problem, while his influential papers “Optimization as motion selection principle in robot action” (2015, 14 citations) and “Optimality in robot motion” (2014, 14 citations) challenge conventional thinking by distinguishing mathematically optimal motion from motion that merely results from applying optimization techniques. These contributions have shaped how researchers approach the fundamental question of action expression in motor control space. Lasserre has also advanced **positivity certificates in optimal control** and tackled the classical problem of solving polynomial equations, with applications spanning coding theory, robotics, and computational statistics. Though his citation counts reflect a specialized audience, his work’s conceptual depth continues to influence both theoretical and applied robotics, making him a key figure in the mathematical foundations of autonomous movement.
Research Focus
Key Achievements
Top Papers
- 1Geometric and Numerical Foundations of Movements26 citations · 2017
- 2Optimization as motion selection principle in robot action14 citations · 2015
- 3Optimality in robot motion14 citations · 2014
- 4Positivity Certificates in Optimal Control2 citations · 2017
- 5Computing the real variety of an ideal2 citations · 2008