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cs.RO2026

Distributed Model-Based Diffusion For Scalable Multi-Robot Trajectory Optimization

Haejoon Lee, Xinyi Wang, Taekyung Kim +1

Trajectory optimization for multi-robot systems remains a critical challenge, particularly when navigating highly non-convex, non-linear, and non-differentiable environments. While…

cs.RO2026

Distributionally Robust Safety Under Arbitrary Uncertainties: A Safety Filtering Approach

Daniel M. Cherenson, Haejoon Lee, Taekyung Kim +1

We study how to ensure probabilistic safety for nonlinear systems under distributional ambiguity. Our approach builds on a backup-based safety filtering framework that switches bet…

cs.RO2025

Multi-Robot Allocation for Information Gathering in Non-Uniform Spatiotemporal Environments

Kaleb Ben Naveed, Haejoon Lee, Dimitra Panagou

Autonomous robots are increasingly deployed to estimate spatiotemporal fields (e.g., wind, temperature, gas concentration) that vary across space and time. We consider environments…

cs.RO2025

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…

cs.RO2025

Maintaining Strong r-Robustness in Reconfigurable Multi-Robot Networks using Control Barrier Functions

Haejoon Lee, Dimitra Panagou

In leader-follower consensus, strong r-robustness of the communication graph provides a sufficient condition for followers to achieve consensus in the presence of misbehaving agent…