DAN: Decentralized Attention-based Neural Network to Solve the MinMax Multiple Traveling Salesman Problem. - Yuhong Cao; Zhanhong Sun; Guillaume Sartoretti (CoRR, 2021)

CAtNIPP: Context-Aware Attention-based Network for Informative Path Planning. - Yuhong Cao; Yizhuo Wang 004; Apoorva Vashisth; Haolin Fan; Guillaume Sartoretti (CoRL, 2022)

DAN: Decentralized Attention-Based Neural Network for the MinMax Multiple Traveling Salesman Problem. - Yuhong Cao; Zhanhong Sun; Guillaume Sartoretti (DARS, 2022)

Distributed Reinforcement Learning for Robot Teams: A Review. - Yutong Wang 003; Mehul Damani; Pamela Wang; Yuhong Cao; Guillaume Sartoretti (CoRR, 2022)

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 (CoRL, 2023)

ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration. - Yuhong Cao; Tianxiang Hou; Yizhuo Wang 004; Xian Yi; Guillaume Sartoretti (ICRA, 2023)

Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets. - Yizhuo Wang 004; Yutong Wang 003; Yuhong Cao; Guillaume Sartoretti (IROS, 2023)

Intent-based Deep Reinforcement Learning for Multi-agent Informative Path Planning. - Tianze Yang; Yuhong Cao; Guillaume Sartoretti (MRS, 2023)

ViPER: Visibility-based Pursuit-Evasion via Reinforcement Learning. - Yizhuo Wang 004; Yuhong Cao; Jimmy Chiun; Subhadeep Koley; Mandy Pham; Guillaume Adrien Sartoretti (CoRL, 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 (IROS, 2024)

STAR: Swarm Technology for Aerial Robotics Research. - Jimmy Chiun; Yan Rui Tan; Yuhong Cao; John Tan; 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)

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)

DARE: Diffusion Policy for Autonomous Robot Exploration. - Yuhong Cao; Jeric Lew; Jingsong Liang; Jin Cheng; Guillaume Sartoretti (CoRR, 2024)

Deep Reinforcement Learning-Based Large-Scale Robot Exploration. - Yuhong Cao; Rui Zhao; Yizhuo Wang 004; Bairan Xiang; Guillaume Sartoretti (IEEE Robotics Autom. Lett., 2024)

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., 2025)

SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding. - Shuhao Liao; Weihang Xia; Yuhong Cao; Weiheng Dai; Chengyang He; Wenjun Wu; Guillaume Sartoretti (CoRR, 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, 2025)

MARVEL: Multi-Agent Reinforcement Learning for constrained field-of-View multi-robot Exploration in Large-scale environments. - Jimmy Chiun; Shizhe Zhang; Yizhuo Wang 004; Yuhong Cao; Guillaume Sartoretti (CoRR, 2025)

HELM: Human-Preferred Exploration with Language Models. - Shuhao Liao; Xuxin Lv; Yuhong Cao; Jeric Lew; Wenjun Wu; Guillaume Sartoretti (CoRR, 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., 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, 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, 2025)

Attention-based Learning for 3D Informative Path Planning. - Rui Zhao; Xingjian Zhang; Yuhong Cao; Yizhuo Wang 004; Guillaume Sartoretti (CoRR, 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 001; Guillaume Adrien Sartoretti (CoRR, 2025)

CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction. - Yizhuo Wang 004; Haodong He; Jingsong Liang; Yuhong Cao; Ritabrata Chakraborty; Guillaume Sartoretti (CoRR, 2025)