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Xinzhu Liu

5 accepted papers

2024

Leveraging Large Language Model for Heterogeneous Ad Hoc Teamwork Collaboration

RSS 2024poster

Compared with the widely investigated homogeneous multi-robot collaboration, heterogeneous robots with different capabilities can provide a more efficient and flexible collaboration for more complex tasks. In this paper, we consider a more challenging heterogeneous ad hoc teamwork collaboration prob…

Cited by 8SourcePDFScholar
2022

Embodied Multi-Agent Task Planning from Ambiguous Instruction

RSS 2022poster

In human-robots collaboration scenarios, a human would give robots an instruction that is intuitive for the human himself to accomplish. However, the instruction given to robots is likely ambiguous for them to understand as some information is implicit in the instruction. Therefore, it is necessary…

Cited by 26SourcePDFScholar
2020

Self-Supervised Learning for Alignment of Objects and Sound

ICRA 2020poster

The sound source separation problem has many useful applications in the field of robotics, such as human-robot interaction, scene understanding, etc. However, it remains a very challenging problem. In this paper, we utilize both visual and audio information of videos to perform the sound source sepa…

Cited by 5SourceScholar