2 papers
cs.RO2025
Stable Robot Motions on Manifolds: Learning Lyapunov-Constrained Neural Manifold ODEs
David Boetius, Abdelrahman Abdelnaby, Ashok Kumar +3
Learning stable dynamical systems from data is crucial for safe and reliable robot motion planning and control. However, extending stability guarantees to trajectories defined on R…
cs.IT2020
Generalized Bayesian Cramér-Rao Inequality via Information Geometry of Relative -Entropy
Kumar Vijay Mishra, M. Ashok Kumar
The relative -entropy is the Rényi analog of relative entropy and arises prominently in information-theoretic problems. Recent information geometric investigations on this quant…