Scaffolding Foundation Models into Physical-World Agents Pushes the Frontier of Long-Horizon Navigation Paper • 2608.30396 • Published 4 days ago • 9
Ego2Robot: Scalable Robot Data Synthesis from Egocentric Human Data Paper • 2608.02580 • Published about 1 month ago • 26
Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models Paper • 2606.17846 • Published Jun 17 • 33
Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation Paper • 2606.17030 • Published Jun 15 • 48
Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models Paper • 2606.17846 • Published Jun 17 • 33
Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System Paper • 2606.18112 • Published Jun 18 • 29
Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System Paper • 2606.18112 • Published Jun 18 • 29
NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic Scenarios Paper • 2503.19267 • Published Mar 25, 2025
Generalist Reward Models: Found Inside Large Language Models Paper • 2506.23235 • Published Jun 29, 2025
HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning Paper • 2603.17024 • Published Mar 17 • 111
Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation Paper • 2606.17030 • Published Jun 15 • 48
Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models Paper • 2606.17846 • Published Jun 17 • 33
Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System Paper • 2606.18112 • Published Jun 18 • 29