works on

From the 2 of 74 linked papers with an AI index.

activity
20242026
collaborators

76 papers

cs.RO2026

Protection Levels for Vision-Based Pose Estimation

Olivia Beyer Bruvik, Romeo Valentin, Marc R. Schlichting +2

Vision-based navigation complements Global Navigation Satellite Systems, but certification demands integrity guarantees that account for faulty measurements. Previous work presente…

cs.RO2026

Semi-Decentralized Multi-Spacecraft Collision Avoidance under Communication Constraints

Grace Ra Kim, Mahdi Al-Husseini, Duncan Eddy +1

The paper presents a semi-decentralized planning framework that models intermittent ground‑station communication as a semi‑decentralized POMDP and computes multi‑spacecraft collisi…

cs.RO2026

Importance Sampling and PCA for Finding Failures in Commercial Autonomous Vehicles

Hailey Warner, Duncan Eddy, Shreya Parjan +6

Methods for discovering rare failures in autonomous systems have so far been demonstrated almost exclusively in simulations with simple, academic driving stacks, leaving open wheth…

eess.SY2026

Real-Time Flight Test Maneuver Selection with Monte Carlo Tree Search

Nicholas E. Bostock, Helen Pruitt-Kennett, Marc R. Schlichting +1

Flight test is shifting toward a data-centric approach in which data contribute to model refinement, reducing reliance on pre-scripted test points. An open problem is how to sequen…

cs.RO2026

Retriever: Composing Closed-Loop Asynchronous Robot Programs

Linfeng Zhao, Haojie Huang, Jiayuan Mao +3

Building long-horizon robot agents requires composing closed-loop pipelines -- perception, belief update, planning, and control -- whose components run at different clocks and with…

cs.LG2026

RENEW: Towards Learning World Models and Repairing Model Exploitation from Preferences

Logan Mondal Bhamidipaty, Mykel Kochenderfer, Subramanian Ramamoorthy

The paper introduces RENEW, a method that uses human preferences over imagined rollouts to correct model exploitation in offline model-based reinforcement learning, focusing fine‑t…