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He Wang

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Preprint Sep 2026

Systematically Exploring the Capabilities of GPT-6 Astra as Embodied Policies

GPT-6 Astra exhibits a remarkable ability to generate numerical robot actions, extending its role beyond high-level planning. To assess Astra's capabilities as general-purpose embodied policies, we conduct comprehensive evaluations across six domains, examining direct control, cooperation with learned policies, and fee...

Galbot Team Xuchuan Chen, Xiao-Qi Cheng, Yu Deng et al. · 0 citations
Preprint Sep 2026

PASSAGE: Scaling Scene-Aligned Motion Learning for Perceptive Humanoid Traversal in Cluttered Environments

PASSAGE, a perception-conditioned planner--tracker framework for humanoid traversal, using virtual reality and inertial motion capture to collect 100 h of scene-aligned human motion across 1,500 cluttered scenes and tests across 50 unseen physical layouts demonstrate traversal without prebuilt maps or offboard computat...

Yuxuan Ma, Zi-Cheng Zeng, Chun-Li Peng et al. · 1 citation
#artificial intelligence Preprint Sep 2026

UniPart: Towards Zero-shot Language-Grounded 3D Part Segmentation for Embodied Interaction

UniPart, a feed-forward cross-modal 3D Transformer that conditions CLIP text embedding, is introduced, a feed-forward cross-modal 3D Transformer that achieves strong zero-shot results on open-vocabulary part benchmarks and transfers to language-conditioned part grasping in real world.

Xinqiang Yu, Zekun Qi, Jia-Wei He et al. · 0 citations
Preprint Aug 2026

HumanTracker: Towards Comprehensive and Human-Aligned Motion Tracking Benchmark

This work introduces HumanTracker, a preference-aligned metric trained on 12K motion pairs containing 24K motions that better predicts human preferences and reveals contact and stability failures that kinematic metrics often miss.

Dai-En Liu, Ze-Kun Qi, Jia-Yu Zeng et al. · 0 citations
Jul 2026

Scaling Behavior Foundation Model for Humanoid Robots

This work revisits the scaling recipe for BFMs and demonstrates that substantial performance gains can be achieved through the coordination of three core components: the learning paradigm of motion tracking that reformulates diverse humanoid control problems as the reproduction of integrated whole-body behaviors in the...

Weishuai Zeng, Kangning Yin, Xiaojie Niu et al. · 3 citations · ⚡1

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