2 citations · 7 across the 8 of their papers we have counts for
9 papers · 1 filter
GPU-Accelerated Barrier-Rate Guided MPPI Control for Tractor-Trailer Systems
Keyvan Majd, Hardik Parwana, Bardh Hoxha +3
Articulated vehicles such as tractor-trailers, yard trucks, and similar platforms must often reverse and maneuver in cluttered spaces where pedestrians are present. We present how…
BR-MPPI: Barrier Rate guided MPPI for Enforcing Multiple Inequality Constraints with Learned Signed Distance Field
Hardik Parwana, Taekyung Kim, Kehan Long +4
Model Predictive Path Integral (MPPI) controller is used to solve unconstrained optimal control problems and Control Barrier Function (CBF) is a tool to impose strict inequality co…
MRTA-Sim: A Modular Simulator for Multi-Robot Allocation, Planning, and Control in Open-World Environments
Victoria Marie Tuck, Hardik Parwana, Pei-Wei Chen +5
This paper introduces MRTA-Sim, a Python/ROS2/Gazebo simulator for testing approaches to Multi-Robot Task Allocation (MRTA) problems on simulated robots in complex, indoor environm…
Enabling Safety for Aerial Robots: Planning and Control Architectures
Kaleb Ben Naveed, Devansh R. Agrawal, Daniel M. Cherenson +6
Ensuring safe autonomy is crucial for deploying aerial robots in real-world applications. However, safety is a multifaceted challenge that must be addressed from multiple perspecti…
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…
Neural Configuration Distance Function for Continuum Robot Control
Kehan Long, Hardik Parwana, Georgios Fainekos +3
This paper presents a novel method for modeling the shape of a continuum robot as a Neural Configuration Euclidean Distance Function (N-CEDF). By learning separate distance fields…