research
∙
07/19/2023
Object-centric Representations for Interactive Online Learning with Non-Parametric Methods
Large offline learning-based models have enabled robots to successfully ...
share
research
∙
07/06/2023
Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance
There are two major challenges for scaling up robot navigation around dy...
research
∙
04/19/2023
Patching Neural Barrier Functions Using Hamilton-Jacobi Reachability
Learning-based control algorithms have led to major advances in robotics...
research
∙
04/26/2022
Refining Control Barrier Functions through Hamilton-Jacobi Reachability
Safety filters based on Control Barrier Functions (CBFs) have emerged as...
research
∙
01/15/2021
Scalable Learning of Safety Guarantees for Autonomous Systems using Hamilton-Jacobi Reachability
Autonomous systems like aircraft and assistive robots often operate in s...
research
∙
03/08/2018
