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20232026
most citedModel Predictive Path Integral Methods with Reach-Avoid Tasks and Control Barrier Functions

2 citations · 3 across the 23 of their papers we have counts for

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17 papers · 1 filter

cs.RO2026

Safety-aware Model Predictive Path Integral Control with Signal Temporal Logic

Yiqi Zhao, Taekyung Kim, Hideki Okamoto +4

Safety-aware motion planning remains a challenge in robotics, especially when missions are time-critical and are under complex specifications. In this paper, we propose safety-awar…

cs.RO2026

FalconTrack: Photorealistic Auto-Labeled Perception and Physics-Aware Vision-Based Aerial Tracking

Yan Miao, Karteek Gandiboyina, Noah Giles +4

Vision-based aerial tracking is critical in GPS-denied environments. Reliable perception for tracking depends on large-scale labeled data, yet most photorealistic datasets rely on…

cs.RO2026

Policy Library CBF: Finite-Horizon Safety at Runtime via Parallel Rollouts

Taekyung Kim, Hideki Okamoto, Bardh Hoxha +2

Safety-critical autonomy in unstructured environments poses significant challenges for online safety certification under evolving constraints. We propose Policy Library Control Bar…

cs.RO2026

Spatio-Temporal Grounding of Large Language Models from Perception Streams

Jacob Anderson, Bardh Hoxha, Georgios Fainekos +2

Embodied-AI agents must reason about how objects move and interact in 3-D space over time, yet existing smaller frontier Large Language Models (LLMs) still mis-handle fine-grained…

cs.RO2025

Safe Model Predictive Diffusion with Shielding

Taekyung Kim, Keyvan Majd, Hideki Okamoto +3

Generating safe, kinodynamically feasible, and optimal trajectories for complex robotic systems is a central challenge in robotics. This paper presents Safe Model Predictive Diffus…

cs.RO2025

Performance-Guided Refinement for Visual Aerial Navigation using Editable Gaussian Splatting in FalconGym 2.0

Yan Miao, Ege Yuceel, Georgios Fainekos +3

Visual policy design is crucial for aerial navigation. However, state-of-the-art visual policies often overfit to a single track and their performance degrades when track geometry…

cs.RO2025

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…

cs.RO2025

BR-MPPI: Barrier-Rate Guided MPPI for Enforcing Multiple Inequality Constraints with Learned Signed Distance Fields

Hardik Parwana, Taekyung Kim, Kehan Long +4

Model Predictive Path Integral (MPPI) control provides a sampling-based framework for optimal control, while Control Barrier Functions (CBFs) provide a principled means of enforcin…

cs.RO2025★ 1 cited

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…

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.RO2024

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…

cs.RO2024★ 2 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

Optimal Planning for Timed Partial Order Specifications

Kandai Watanabe, Georgios Fainekos, Bardh Hoxha +3

This paper addresses the challenge of planning a sequence of tasks to be performed by multiple robots while minimizing the overall completion time subject to timing and precedence…

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…

cs.RO2023

Feasible Space Monitoring for Multiple Control Barrier Functions with application to Large Scale Indoor Navigation

Hardik Parwana, Mitchell Black, Bardh Hoxha +4

Quadratic programs (QP) subject to multiple time-dependent control barrier function (CBF) based constraints have been used to design safety-critical controllers. However, ensuring…