1 citations · 1 across the 1 of their papers we have counts for
13 papers
Neural Configuration-Space Barriers for Manipulation Planning and Control
Kehan Long, Ki Myung Brian Lee, Nikola Raicevic +3
Planning and control for high-dimensional robot manipulators in cluttered dynamic environments require computational efficiency and robust safety guarantees. Inspired by recent adv…
Constrained Variational Inference via Safe Particle Flow
Yinzhuang Yi, Jorge Cortés, Nikolay Atanasov
We propose a control barrier function (CBF) formulation for enforcing equality and inequality constraints in variational inference. The key idea is to define a barrier functional o…
Contact-Aware Planning and Control of Continuum Robots in Highly Constrained Environments
Aedan Mangan, Kehan Long, Ki Myung Brian Lee +3
Continuum robots are well suited for navigating confined and fragile environments, such as vascular or endoluminal anatomy, where contact with surrounding structures is often unavo…
Control Barrier Corridors: From Safety Functions to Safe Sets
Ãmür Arslan, Nikolay Atanasov
Safe autonomy is a critical requirement and a key enabler for robots to operate safely in unstructured complex environments. Control barrier functions and safe motion corridors are…
Variational Formulation of Particle Flow
Yinzhuang Yi, Jorge Cortés, Nikolay Atanasov
This paper provides a formulation of the log-homotopy particle flow from the perspective of variational inference. We show that the transient density used to derive the particle fl…
Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions
Kehan Long, Jorge Cortés, Nikolay Atanasov
Establishing stability certificates for closed-loop systems under reinforcement learning (RL) policies is essential to move beyond empirical performance and offer guarantees of sys…