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From the 1 of 13 linked papers with an AI index.

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13 papers

hep-ex2026

Amplitude analysis for charmed meson decays at BESIII

Han Zhang, Zhenxuan Li, Chunyi Guan +9

Amplitude analysis bridges the gap between experimental measurements of multibody charmed-meson decays and theoretical predictions of intermediate two-body processes. This work pre…

cs.LG2026

Neural operator learning for collision-aware trajectory planning of spacecraft swarms

Sidhdharth D. Sikka, Suyi Gao, Zehui Lu +2

Autonomous spacecraft swarms must plan fuel-efficient, collision-free maneuvers in increasingly congested orbits, yet classical trajectory optimization scales poorly as pairwise sa…

cs.RO2026

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics

Wenjian Hao, Yuxuan Fang, Zehui Lu +1

The paper proposes a model predictive path integral control method that replaces costly nonlinear dynamics with a learned linear deep Koopman operator, enabling faster trajectory s…

cs.RO2026

Online Intention Prediction via Control-Informed Learning

Tianyu Zhou, Zihao Liang, Zehui Lu +1

This paper presents an online intention prediction framework for estimating the goal state of autonomous systems in real time, even when intention is time-varying, and system dynam…

eess.SY2026

Distributed Koopman Learning using Partial Trajectories for Control

Wenjian Hao, Zehui Lu, Devesh Upadhyay +1

This paper proposes a distributed data-driven framework for dynamics learning, termed distributed deep Koopman learning using partial trajectories (DDKL-PT). In this framework, eac…

eess.SY2025

Safe Online Control-Informed Learning

Tianyu Zhou, Zihao Liang, Zehui Lu +1

This paper proposes a Safe Online Control-Informed Learning framework for safety-critical autonomous systems. The framework unifies optimal control, parameter estimation, and safet…