activity
20222025
most citedAssistantX: An LLM-Powered Proactive Assistant in Collaborative Human-Populated Environment

5 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2025

Transforming Monolithic Foundation Models into Embodied Multi-Agent Architectures for Human-Robot Collaboration

Nan Sun, Bo Mao, Yongchang Li +3

Foundation models have become central to unifying perception and planning in robotics, yet real-world deployment exposes a mismatch between their monolithic assumption that a singl…

cs.CV2025

Conditional Diffusion Model for Electrical Impedance Tomography

Duanpeng Shi, Wendong Zheng, Di Guo +1

Electrical impedance tomography (EIT) is a non-invasive imaging technique, which has been widely used in the fields of industrial inspection, medical monitoring and tactile sensing…

cs.RO2024★ 5 cited

AssistantX: An LLM-Powered Proactive Assistant in Collaborative Human-Populated Environment

Nan Sun, Bo Mao, Yongchang Li +2

Current service robots suffer from limited natural language communication abilities, heavy reliance on predefined commands, ongoing human intervention, and, most notably, a lack of…

cs.RO2024

Leveraging Large Language Model for Heterogeneous Ad Hoc Teamwork Collaboration

Xinzhu Liu, Peiyan Li, Wenju Yang +2

Compared with the widely investigated homogeneous multi-robot collaboration, heterogeneous robots with different capabilities can provide a more efficient and flexible collaboratio…

cs.CV2024

Small Scale Data-Free Knowledge Distillation

He Liu, Yikai Wang, Huaping Liu +2

Data-free knowledge distillation is able to utilize the knowledge learned by a large teacher network to augment the training of a smaller student network without accessing the orig…

cs.CV2022

Rich Action-semantic Consistent Knowledge for Early Action Prediction

Xiaoli Liu, Jianqin Yin, Di Guo +1

Early action prediction (EAP) aims to recognize human actions from a part of action execution in ongoing videos, which is an important task for many practical applications. Most pr…