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Yuhong Cao — most-cited papers & profile · Large Language Models
← authors
·
overview
Yuhong Cao
19
papers ·
60
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration
2023 · 42 citations
Spatio-Temporal Attention Network for Persistent Monitoring of Multiple Mobile Targets
2023 · 10 citations
HDPlanner: Advancing Autonomous Deployments in Unknown Environments through Hierarchical Decision Networks
2024 · 4 citations
Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding
2025 · 2 citations
STAR: Swarm Technology for Aerial Robotics Research
2024 · 2 citations
TAGA: Terrain-aware Active Gaze Learning for Generalizable Agile Humanoid Locomotion
2026
ImagiNav: Scalable Embodied Navigation via Generative Visual Prediction and Inverse Dynamics
2026
FARE: Fast-Slow Agentic Robotic Exploration
2026
GPO: Growing Policy Optimization for Legged Robot Locomotion and Whole-Body Control
2026
HEADER: Hierarchical Robot Exploration via Attention-Based Deep Reinforcement Learning with Expert-Guided Reward
2025
GRATE: a Graph transformer-based deep Reinforcement learning Approach for Time-efficient autonomous robot Exploration
2025
KiVi: Kinesthetic-Visuospatial Integration for Dynamic and Safe Egocentric Legged Locomotion
2025
HeLoM: Hierarchical Learning for Whole-Body Loco-Manipulation by a Hexapod Robot
2025
CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction
2025
Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning
2025
Topics
Control
Navigation
Sim-to-Real
Locomotion
Multi-Robot
Perception
Drones
Human-Robot Interaction
Multi-Agent
Planning