Yuhong Cao

According to our database, Yuhong Cao authored at least 31 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

HEADER: Hierarchical Robot Exploration via Attention-Based Deep Reinforcement Learning with Expert-Guided Reward.

Yuhong Cao, Yizhuo Wang, Jingsong Liang, Shuhao Liao, Yifeng Zhang, Peizhuo Li, Guillaume Sartoretti

CoRR, October, 2025

HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation in Hexapod Robot.

Xinrong Yang, Peizhuo Li, Hongyi Li, Junkai Lu, Linnan Chang, Yuhong Cao, Yifeng Zhang, Ge Sun, Guillaume Sartoretti

CoRR, September, 2025

KiVi: Kinesthetic-Visuospatial Integration for Dynamic and Safe Egocentric Legged Locomotion.

Peizhuo Li, Hongyi Li, Yuxuan Ma, Linnan Chang, Xinrong Yang, Ruiqi Yu, Yifeng Zhang, Yuhong Cao, Qiuguo Zhu, Guillaume Sartoretti

CoRR, September, 2025

GRATE: a Graph transformer-based deep Reinforcement learning Approach for Time-efficient autonomous robot Exploration.

Haozhan Ni, Jingsong Liang, Chenyu He, Yuhong Cao, Guillaume Sartoretti

CoRR, September, 2025

CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction.

Yizhuo Wang, Haodong He, Jingsong Liang, Yuhong Cao, Ritabrata Chakraborty, Guillaume Sartoretti

CoRR, August, 2025

Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning.

Jiaqi Chen, Mingfeng Fan, Xuefeng Zhang, Jingsong Liang, Yuhong Cao, Guohua Wu, Guillaume Adrien Sartoretti

CoRR, June, 2025

Attention-based Learning for 3D Informative Path Planning.

Rui Zhao, Xingjian Zhang, Yuhong Cao, Yizhuo Wang, Guillaume Sartoretti

CoRR, June, 2025

Search-TTA: A Multimodal Test-Time Adaptation Framework for Visual Search in the Wild.

Derek Ming Siang Tan, Shailesh, Boyang Liu, Alok Raj, Qi Xuan Ang, Weiheng Dai, Tanishq Duhan, Jimmy Chiun, Yuhong Cao, Florian Shkurti, Guillaume Sartoretti

CoRR, May, 2025

APEX: Action Priors Enable Efficient Exploration for Skill Imitation on Articulated Robots.

Shivam Sood, Laukik B. Nakhwa, Yuhong Cao, Ge Sun, Guillaume Sartoretti

CoRR, May, 2025

Heterogeneous Multi-robot Task Allocation and Scheduling via Reinforcement Learning.

Weiheng Dai, Utkarsh Rai, Jimmy Chiun, Yuhong Cao, Guillaume Sartoretti

IEEE Robotics Autom. Lett., March, 2025

HELM: Human-Preferred Exploration with Language Models.

Shuhao Liao, Xuxin Lv, Yuhong Cao, Jeric Lew, Wenjun Wu, Guillaume Sartoretti

CoRR, March, 2025

SATA: Safe and Adaptive Torque-Based Locomotion Policies Inspired by Animal Learning.

Peizhuo Li, Hongyi Li, Ge Sun, Jin Cheng, Xinrong Yang, Guillaume Bellegarda, Milad Shafiee, Yuhong Cao, Auke Jan Ijspeert, Guillaume Sartoretti

CoRR, February, 2025

HDPlanner: Advancing Autonomous Deployments in Unknown Environments Through Hierarchical Decision Networks.

Jingsong Liang, Yuhong Cao, Yixiao Ma, Hanqi Zhao, Guillaume Sartoretti

IEEE Robotics Autom. Lett., January, 2025

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding.

Pu Feng, Size Wang, Yuhong Cao, Junkang Liang, Rongye Shi, Wenjun Wu

Proceedings of the International Joint Conference on Neural Networks, 2025

SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding.

Shuhao Liao, Weihang Xia, Yuhong Cao, Weiheng Dai, Chengyang He, Wenjun Wu, Guillaume Sartoretti

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

MARVEL: Multi-Agent Reinforcement Learning for Constrained Field-of-View Multi-Robot Exploration in Large-Scale Environments.

Jimmy Chiun, Shizhe Zhang, Yizhuo Wang, Yuhong Cao, Guillaume Sartoretti

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

DARE: Diffusion Policy for Autonomous Robot Exploration.

Yuhong Cao, Jeric Lew, Jingsong Liang, Jin Cheng, Guillaume Sartoretti

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Deep Reinforcement Learning-Based Large-Scale Robot Exploration.

Yuhong Cao, Rui Zhao, Yizhuo Wang, Bairan Xiang, Guillaume Sartoretti

IEEE Robotics Autom. Lett., May, 2024

IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity.

Derek Ming Siang Tan, Yixiao Ma, Jingsong Liang, Yi Cheng Chng, Yuhong Cao, Guillaume Sartoretti

CoRR, 2024

Privileged Reinforcement and Communication Learning for Distributed, Bandwidth-limited Multi-robot Exploration.

Yixiao Ma, Jingsong Liang, Yuhong Cao, Derek Ming Siang Tan, Guillaume Sartoretti

CoRR, 2024

STAR: Swarm Technology for Aerial Robotics Research.

Jimmy Chiun, Yan Rui Tan, Yuhong Cao, John Tan, Guillaume Sartoretti

CoRR, 2024

IR²: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity.

Derek Ming Siang Tan, Yixiao Ma, Jingsong Liang, Yi Cheng Chng, Yuhong Cao, Guillaume Sartoretti

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

ViPER: Visibility-based Pursuit-Evasion via Reinforcement Learning.

Yizhuo Wang, Yuhong Cao, Jimmy Chiun, Subhadeep Koley, Mandy Pham, Guillaume Adrien Sartoretti

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Intent-based Deep Reinforcement Learning for Multi-agent Informative Path Planning.

Tianze Yang, Yuhong Cao, Guillaume Sartoretti

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2023

Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets.

Yizhuo Wang, Yutong Wang, Yuhong Cao, Guillaume Sartoretti

IROS, 2023

ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration.

Yuhong Cao, Tianxiang Hou, Yizhuo Wang, Xian Yi, Guillaume Sartoretti

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area.

Jingsong Liang, Zhichen Wang, Yuhong Cao, Jimmy Chiun, Mengqi Zhang, Guillaume Adrien Sartoretti

Proceedings of the Conference on Robot Learning, 2023

2022

Distributed Reinforcement Learning for Robot Teams: A Review.

Yutong Wang, Mehul Damani, Pamela Wang, Yuhong Cao, Guillaume Sartoretti

CoRR, 2022

DAN: Decentralized Attention-Based Neural Network for the MinMax Multiple Traveling Salesman Problem.

Yuhong Cao, Zhanhong Sun, Guillaume Sartoretti

Proceedings of the Distributed Autonomous Robotic Systems - 16th International Symposium, 2022

CAtNIPP: Context-Aware Attention-based Network for Informative Path Planning.

Yuhong Cao, Yizhuo Wang, Apoorva Vashisth, Haolin Fan, Guillaume Sartoretti

Proceedings of the Conference on Robot Learning, 2022

2021

DAN: Decentralized Attention-based Neural Network to Solve the MinMax Multiple Traveling Salesman Problem.

Yuhong Cao, Zhanhong Sun, Guillaume Sartoretti

CoRR, 2021