Zexin Lin — accepted AI-conference papers

2025

EmbodiedAgent: A Scalable Hierarchical Approach to Overcome Practical Challenge in Multi-Robot Control

Hanwen Wan, Yifei Chen, Yixuan Deng, Zeyu Wei, Dongrui Li, Zexin Lin +3

IROS 2025

This paper introduces EmbodiedAgent, a hierarchical framework for heterogeneous multi-robot control. EmbodiedAgent addresses critical limitations of hallucination in impractical tasks. Our approach integrates a next-action prediction paradigm with a structured memory system to decompose tasks into e

Cited by 2 Source ↗code ↗Scholar ↗

2025

Interpretable Solutions for Multi-Physics PDEs Using T-NNGP

Lulu Cao, Zexin Lin, Kay Chen Tan, Min Jiang

AAAI 2025technical

Multiphysics simulation aims to predict and understand interactions between multiple physical phenomena, aiding in comprehending natural processes and guiding engineering design. The system of Partial Differential Equations (PDEs) is crucial for representing these physical fields, and solving these…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗