most citedModel Predictive Path Integral Methods with Reach-Avoid Tasks and Control Barrier Functions

2 citations · 2 across the 3 of their papers we have counts for

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cs.RO2024

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…

cs.RO2024

Querying Perception Streams with Spatial Regular Expressions

Jacob Anderson, Georgios Fainekos, Bardh Hoxha +2

Perception in fields like robotics, manufacturing, and data analysis generates large volumes of temporal and spatial data to effectively capture their environments. However, sortin…

cs.RO20242 cited

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…

cs.RO2024

CBFKIT: A Control Barrier Function Toolbox for Robotics Applications

Mitchell Black, Georgios Fainekos, Bardh Hoxha +2

This paper introduces CBFKit, a Python/ROS toolbox for safe robotics planning and control under uncertainty. The toolbox provides a general framework for designing control barrier…

cs.RO2024

SMT-Based Dynamic Multi-Robot Task Allocation

Victoria Marie Tuck, Pei-Wei Chen, Georgios Fainekos +4

Multi-Robot Task Allocation (MRTA) is a problem that arises in many application domains including package delivery, warehouse robotics, and healthcare. In this work, we consider th…