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20242026
most citedSG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation

4 citations · 4 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

Scaffolding Foundation Models into Physical-World Agents Pushes the Frontier of Long-Horizon Navigation

Zixing Lei, Gengze Zhou, Xiong-Hui Chen +7

Long-horizon physical-world agents must reason over distant goals while grounding decisions in reliable closed-loop behavior. Today's foundation models split these capabilities: vi…

cs.CV2026

DrivingDepth: Sparse-Prompted Pixel-wise Scale Correction for Driving Depth Estimation

Chi Huang, Wenhao Zhang, Hang Yin +5

Dense depth estimation for autonomous driving faces a geometry-scale conflict: depth foundation models deliver pixel-aligned dense visual geometry without reliable metric scale, wh…

cs.CV2026

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation

Jie Zhang, Xiaoyue Chen, Anzhe Chen +36

We introduce Qwen-RobotWorld, a language-conditioned video world model for embodied intelligence. With natural language as a unified action interface, it predicts physically ground…

cs.RO2026

Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments

Qiuyue Wang, Mingsheng Li, Jian Guan +37

Embodied intelligence is often studied through specialized models for individual tasks such as manipulation or navigation, resulting in fragmented capabilities and limited generali…

cs.RO2026

F2F-AP: Flow-to-Future Asynchronous Policy for Real-time Dynamic Manipulation

Haoyu Wei, Xiuwei Xu, Ziyang Cheng +5

Asynchronous inference has emerged as a prevalent paradigm in robotic manipulation, achieving significant progress in ensuring trajectory smoothness and efficiency. However, a syst…

cs.RO2026

CMP: Robust Whole-Body Tracking for Loco-Manipulation via Competence Manifold Projection

Ziyang Cheng, Haoyu Wei, Hang Yin +4

While decoupled control schemes for legged mobile manipulators have shown robustness, learning holistic whole-body control policies for tracking global end-effector poses remains f…