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Xuebo Ji

2 accepted papers

2025

Understanding Particles From Video: Property Estimation of Granular Materials via Visuo-Haptic Learning

RA-L 2025

Granular materials (GMs) are ubiquitous in daily life. Understanding their properties is also important, especially in agriculture and industry. However, existing works require dedicated measurement equipment and also need large human efforts to handle a large number of particles. In this paper, we

Cited by 3SourceScholar
2021

Decentralized, Unlabeled Multi-Agent Navigation in Obstacle-Rich Environments using Graph Neural Networks

IROS 2021poster

We propose a decentralized, learning-based solution to the challenging problem of unlabeled multi-agent navigation among obstacles, where robots need to simultaneously tackle the problems of goal assignment, local collision avoidance, and navigation. Our method has each robot infer their desired act…

Cited by 20SourceScholar