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Xinyu Liu

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#artificial intelligence Preprint Sep 2026

AeroWeaver: An Embodied-Agent Harness for Weaving Aerial Skills into Distributed, Adaptive Swarm Execution

Collective intelligence is a collaborative autonomy paradigm in which multiple agents pursue shared objectives through local perception, information exchange, and coordinated action. UAV swarms embody this paradigm by coordinating multiple vehicles in tasks such as search, inspection, and tracking. Recent advances in l...

Jiabin Lou, Yi-Rong Yang, Hao-Peng Wang et al. · 0 citations
Preprint Aug 2026

GigaBrain-0.7: Scaling Embodied Foundation Models to Emergent Capabilities with a Three-System Architecture

Vision-language-action (VLA) models have become a dominant paradigm for generalist embodied agents, demonstrating strong complex and long-horizon task completion in structured settings. Yet it remains an open question whether current VLA systems can benefit from more effective architectural design, scale to substantial...

GigaBrain Team, An-Gen Ye, Axiang Sun et al. · 5 citations · ⚡1
Jul 2026

VoLN: Vision-Only Long-Horizon Navigation - Paradigm, Benchmark, and Method

This work instantiates VoLN for aerial navigation through VoLN-UAV, a 7,210-episode benchmark that combines long-horizon goal-directed flight, continuous 3D motion, large viewpoint changes, and context-dependent beacon selection and reveals substantial remaining challenges in long-horizon evidence integration, cross-vi...

Jiabin Lou, Hao-Peng Wang, Yuan-Shuai Wang et al. · 0 citations
Jun 2026

From Grasps to Dexterity: Large-Scale Grasp Pretraining for Dexterous Manipulation

This work adapts a hierarchical imitation learning framework that combines high-level hand sub-goal prediction with a low-level goal-conditioned controller to serve not only as resources for grasp synthesis, but also as scalable pretraining data for contact-rich dexterous manipulation.

Ying Yuan, Xinyu Liu, Sriram Krishna et al. · 0 citations

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