Author

Hong-Yu Pan

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Preprint Sep 2026

In-context Robot Learning Made Simple: A Democratized Recipe for Manipulation Tasks

We study robotic in-context learning (ICL), an emerging paradigm that enables robots to infer and execute tasks from visual demonstrations. Despite its growing promise, the problem itself remains under-defined: a visual demonstration simultaneously conveys action trajectories, object semantics, manipulation affordances...

Min-Xing Li, Ming-Hao Han, Wei-Zhi Zhao et al. · 0 citations

Preprint Sep 2026

Towards robust multimodal 3D object detection via visual foundation models

This work introduces SAM-AD, a domain-specific pretraining strategy that fine-tunes SAM on autonomous-driving imagery to extract feature representations with rich semantic information, and develops the Depth-Guided Wavelet Attention (DGWA) module, which suppresses high-frequency sensor noise while preserving critical c...

Zi-Ying Song, Lin Liu, Hong-Yu Pan et al. · 0 citations

Jul 2026

ABot-N1: Toward a General Visual Language Navigation Foundation Model

ABot-N1 establishes new state-of-the-art records, delivering massive gains specifically in urban-scale navigation: boosting POI arrival by 35.0% (to 77.3%) and achieving 95.4%/92.9% SR in complex indoor and outdoor scenes.

Ruiyan Gong, Ying-Nan Guo, Junjun Hu et al. · arXiv.org · 4 citations · ⚡1

Preprint Jul 2026

ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU

This work progressively distill a bidirectional action-conditioned teacher into a causal student through teacher forcing and ODE distillation, and introduces LongForcing to align long student self-rollouts with an extended-horizon teacher, mitigating accumulated distribution shift and autoregressive drift.

Fan Jiang, Zhaoxu Sun, Mengchao Wang et al. · 6 citations