Venues会议/期刊 › ECCV 2026

ECCV 2026 · papers论文

3 embodied-AI and robotics papers accepted at ECCV 2026, 3 with code.3 篇被 ECCV 2026 接收的具身智能与机器人论文，其中 3 篇附代码。

arXiv papers are listed when their arXiv comment says they were accepted (e.g. 'Accepted to CoRL 2026'); papers that do not say so are missing, and the list grows as authors post camera-ready versions. Curated entries carry a hand-checked venue. For CoRL 2026 the official program is used as well.arXiv 论文仅在其 arXiv 备注写明已被接收（如 “Accepted to CoRL 2026”）时列入；未注明的论文不会出现，列表会随作者上传终稿而增加。精选条目的会议/期刊信息经过人工核对。CoRL 2026 另依据官方日程。

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Curated精选 (2)

Paper论文 2025 ECCV 2026

Towards Spatial Trace with Reasoning in Vision-Language Models for Robotics

RoboTracer is a 3D-aware VLM for spatial tracing, which needs multi-step metric reasoning about real-world measurements.RoboTracer 是三维感知 VLM，用于空间轨迹推理，需要结合真实度量做多步推理。

Paper论文 · Code代码 · Project项目页 · Details详情 ★ 98

BibTeX

@misc{zhou2025towards,
  title = {{Towards Spatial Trace with Reasoning in Vision-Language Models for Robotics}},
  author = {Enshen Zhou and Yibo Li and Jingkun An and Jiayuan Zhang and Shanyu Rong and Mengzhen Liu and Yi Han and Yuheng Ji and Huajie Tan and Jiawei He and Pengwei Wang and Zhongyuan Wang and Cheng Chi and Lu Sheng and Shanghang Zhang},
  year = {2025},
  eprint = {2512.13660},
  archivePrefix = {arXiv},
  primaryClass = {cs.RO},
  url = {https://arxiv.org/abs/2512.13660},
}

Perception, SLAM & 3D Mapping感知、SLAM 与三维建图vlmspatial-reasoningmetric-3d

Paper论文 2026 ECCV 2026

VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model

JEPA-style VLA pretraining: future frames are only a latent target and the student sees the current observation alone, so it avoids leakage and learns dynamics rather than pixel changes; then fine-tune an action head.JEPA 式 VLA 预训练：未来帧只作为潜空间监督目标，学生网络只看当前观测，避免信息泄漏，学动力学而非像素变化；之后再微调动作头。

Paper论文 · Code代码 · Project项目页 · Details详情 ★ 629

BibTeX

@misc{sun2026vla,
  title = {{VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model}},
  author = {Jingwen Sun and Wenyao Zhang and Zekun Qi and Shaojie Ren and Zezhi Liu and Hanxin Zhu and Guangzhong Sun and Xin Jin and Zhibo Chen},
  year = {2026},
  eprint = {2602.10098},
  archivePrefix = {arXiv},
  primaryClass = {cs.RO},
  url = {https://arxiv.org/abs/2602.10098},
}

VLA & Robot Foundation ModelsVLA 与机器人基础模型 World Models世界模型jepalatent-world-modelpretrainingliberoopen-weights

From arXiv来自 arXiv (1)

arXiv cs.RO 2026-11-04 code ECCV 2026

iMED: A Multi-Endoscope Dataset for Surgical 3D Perception

Sierra Bonilla, Fengyi Jiang, Chinedu Nwoye, Jingpei Lu et al.

Abstract摘要

We introduce iMED, the first synchronized multi-endoscope dataset for robot-assisted minimally invasive surgery (RAMIS), designed to address a fundamental limitation in surgical vision benchmarking: the absence of independent held-out viewpoints. Existing surgical datasets capture single-trajectory sequences from a single endoscope, making it impossible to distinguish geometric generalization from photometric interpolation along a narrow forward-facing path. iMED provides 340 sequences ~170K synchronized timepoints with 4 views per timepoint) recorded simultaneously from two independent …

arXiv · PDF · Code代码 ★ 8

BibTeX

@misc{bonilla2026imed,
  title = {{iMED: A Multi-Endoscope Dataset for Surgical 3D Perception}},
  author = {Sierra Bonilla and Fengyi Jiang and Chinedu Nwoye and Jingpei Lu and Kailey Reardon and Humphrey W. Chow and Francisco Vasconcelos and Sophia Bano and others},
  year = {2026},
  eprint = {2611.04755},
  archivePrefix = {arXiv},
  primaryClass = {cs.RO},
  url = {https://arxiv.org/abs/2611.04755},
}

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