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most citedCompositional Inductive Invariant Inference via Assume-Guarantee Reasoning

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cs.LO2025★ 1 cited

Compositional Inductive Invariant Inference via Assume-Guarantee Reasoning

Ian Dardik, Eunsuk Kang

A common technique for verifying the safety of complex systems is the inductive invariant method. Inductive invariants are inductive formulas that overapproximate the reachable sta…

cs.RO2025

Constrained Decoding for Safe Robot Navigation Foundation Models

Parv Kapoor, Akila Ganlath, Michael Clifford +3

Recent advances in the development of robotic foundation models have led to promising end-to-end and general-purpose capabilities in robotic systems. Trained on vast datasets of si…

cs.RO2025

Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid

Parv Kapoor, Ian Higgins, Nikhil Keetha +9

Assured safe-separation is essential for achieving seamless high-density operation of airborne vehicles in a shared airspace. To equip resource-constrained aerial systems with this…

cs.AI2025

Pretrained Embeddings as a Behavior Specification Mechanism

Parv Kapoor, Abigail Hammer, Ashish Kapoor +2

We propose an approach to formally specifying the behavioral properties of systems that rely on a perception model for interactions with the physical world. The key idea is to intr…

cs.RO2025

STLCG++: A Masking Approach for Differentiable Signal Temporal Logic Specification

Parv Kapoor, Kazuki Mizuta, Eunsuk Kang +1

Signal Temporal Logic (STL) offers a concise yet expressive framework for specifying and reasoning about spatio-temporal behaviors of robotic systems. Attractively, STL admits the…