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Venues会议/期刊 › Humanoids 2026

Humanoids 2026 · papers论文

3 embodied-AI and robotics papers accepted at Humanoids 2026, 0 with code.3 篇被 Humanoids 2026 接收的具身智能与机器人论文,其中 0 篇附代码。

Feed 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.日常 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。

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Curated精选 (3)

Paper论文 2026 Humanoids 2026 new新 2026-10-26

PHD-Hand: A Printable Humanoid Dexterous Hand with Linkage-Driven 3-DOA Digits

Fully linkage-driven humanoid hand with 3 actuated DoF per finger; a flexure hinge and spring-steel drive rods replace many tiny parts, so it prints on a budget 3D printer at near human-hand size.完全连杆驱动的人形灵巧手,每根手指 3 个主动自由度;用柔性铰链和弹簧钢驱动杆取代大量微型零件,可用入门级 3D 打印机制造,尺寸接近真人手。

BibTeX
@misc{adwani2026phd,
  title = {{PHD-Hand: A Printable Humanoid Dexterous Hand with Linkage-Driven 3-DOA Digits}},
  author = {Neel Adwani and Muhaiminul Islam Akash and Saffia Ouali and Ethan Liu and Cong Wang},
  year = {2026},
  eprint = {2610.29030},
  archivePrefix = {arXiv},
  primaryClass = {cs.RO},
  url = {https://arxiv.org/abs/2610.29030},
}
Hardware & Open-Source Robots硬件与开源机器人Manipulation & Dexterous Hands操作与灵巧手Dexterous hand灵巧手Humanoid人形dexterous-handlinkage-driven3d-printablelow-costhumanoid
Paper论文 2026 · SUSTech Humanoids 2026 new新 2026-10-28

REACH: An RL-based Hierarchical Humanoid Crawling Framework for Adaptable Confined Space Traversal

Unitree G1 walks at variable height (1.27–0.50 m) and crawls (0.50–0.20 m), with a learned transition policy between modes and a LiDAR planner that sets height targets for confined-space traversal on hardware.让 Unitree G1 在 1.27–0.50 米高度范围内变高步行、在 0.50–0.20 米范围内爬行,并用学习到的过渡策略在两种模式间切换;结合 LiDAR 规划器给出高度目标,在真机上穿越低矮受限空间。

BibTeX
@misc{xu2026reach,
  title = {{REACH: An RL-based Hierarchical Humanoid Crawling Framework for Adaptable Confined Space Traversal}},
  author = {Shengzhang Xu and Yuning Guo and Weiyi Hu and Yifeng Xu and Zhongyu Li and He Kong},
  year = {2026},
  eprint = {2610.36546},
  archivePrefix = {arXiv},
  primaryClass = {cs.RO},
  url = {https://arxiv.org/abs/2610.36546},
}
Locomotion & Humanoids运动控制与人形机器人Humanoid人形humanoidcrawlingrlunitree-g1lidarreal
Paper论文 2026 Humanoids 2026 new新 2026-10-28

Whole-Body Humanoid Control via Stochastic Motion Tokenization

A stochastic motion tokenizer gives a high-level generator a compact interface to a whole-body tracking policy; reports better G1 motion reconstruction than FSQ/VQ-VAE and real dance/fight/walk sequences.用随机运动分词器把行为标签或文本生成的动作压缩成离散表示,直接作为全身跟踪策略的参考;报告在 Unitree G1 动作重建上优于 FSQ 与 VQ-VAE,并在真机上执行舞蹈、格斗、行走及 35 秒的格斗转舞蹈序列。

BibTeX
@misc{drolet2026whole,
  title = {{Whole-Body Humanoid Control via Stochastic Motion Tokenization}},
  author = {Michael Drolet and Oleg Arenz and Jan Peters},
  year = {2026},
  eprint = {2610.36452},
  archivePrefix = {arXiv},
  primaryClass = {cs.RO},
  url = {https://arxiv.org/abs/2610.36452},
}
Locomotion & Humanoids运动控制与人形机器人Robot Learning: RL & Imitation机器人学习:强化学习与模仿学习Humanoid人形humanoidmotion-tokenizerwhole-body-trackingtext-to-motionunitree-g1real