2 citations · 4 across the 3 of their papers we have counts for
3 papers
Risk-aware MPPI for Stochastic Hybrid Systems
Hardik Parwana, Mitchell Black, Bardh Hoxha +4
Path Planning for stochastic hybrid systems presents a unique challenge of predicting distributions of future states subject to a state-dependent dynamics switching function. In th…
Model Predictive Path Integral Methods with Reach-Avoid Tasks and Control Barrier Functions
Hardik Parwana, Mitchell Black, Georgios Fainekos +3
The rapid advancement of robotics necessitates robust tools for developing and testing safe control architectures in dynamic and uncertain environments. Ensuring safety and reliabi…
Advances in the Theory of Control Barrier Functions: Addressing Practical Challenges in Safe Control Synthesis for Autonomous and Robotic Systems
Kunal Garg, James Usevitch, Joseph Breeden +4
This tutorial paper presents recent work of the authors that extends the theory of Control Barrier Functions (CBFs) to address practical challenges in the synthesis of safe control…