机器人 / 具身智能

Constrained Style Learning from Imperfect Demonstrations under Task Optimality

Kehan Wen, Chenhao Li, Junzhe He, Marco Hutter

机构 * ETH Zurich（苏黎世联邦理工学院） 纠错

专题命中 机器人学习 ：robotics(abstract)；robotic(abstract)；分类 cs.RO

Comments This paper has been accepted to CoRL 2025

exUMI: Extensible Robot Teaching System with Action-aware Task-agnostic Tactile Representation

Yue Xu, Litao Wei, Pengyu An, Qingyu Zhang, Yong-Lu Li

机构 * Shanghai Jiao Tong University（上海交通大学） ； Shanghai Innovation Institute（上海创新研究院） 纠错

专题命中 机器人学习 ：robot learning(abstract)；manipulation(abstract)；分类 cs.RO

Comments Accepted at CoRL 2025

Generalizable Skill Learning for Construction Robots with Crowdsourced Natural Language Instructions, Composable Skills Standardization, and Large Language Model

Hongrui Yu, Vineet R. Kamat, Carol C. Menassa

专题命中 机器人学习 ：manipulation(abstract)；robotic(abstract)；分类 cs.RO

Comments Under review for ASCE OPEN: Multidisciplinary Journal of Civil Engineering

Video Generators are Robot Policies

Junbang Liang, Pavel Tokmakov, Ruoshi Liu, Sruthi Sudhakar, Paarth Shah, Rares Ambrus, Carl Vondrick

机构 * Columbia University（哥伦比亚大学） ； Toyota Research Institute（丰田研究院） 纠错

专题命中 机器人学习 ：manipulation(abstract)；robot policy(abstract)；分类 cs.RO

Spatial-Temporal Aware Visuomotor Diffusion Policy Learning

Zhenyang Liu, Yikai Wang, Kuanning Wang, Longfei Liang, Xiangyang Xue, Yanwei Fu

机构 * Fudan University（复旦大学） ； Shanghai Innovation Institute（上海创新研究院） ； Nanyang Technological University（南洋理工大学） ； NeuHelium Co., Ltd（NeuHelium公司） 纠错

专题命中 机器人学习 ：world model(abstract)；robotic(abstract)；分类 cs.RO

Wavelet Policy: Lifting Scheme for Policy Learning in Long-Horizon Tasks

Hao Huang, Shuaihang Yuan, Geeta Chandra Raju Bethala, Congcong Wen, Anthony Tzes, Yi Fang

机构 * Embodied AI and Robotics (AIR) Lab, NYUAD（纽约大学阿布扎克分校 embodied AI 和机器人实验室） ； NYUAD Center for Artificial Intelligence and Robotics (CAIR)（纽约大学阿布扎克分校人工智能与机器人中心） ； New York University Abu Dhabi（纽约大学阿布扎克分校） 纠错

专题命中 机器人学习 ：manipulation(abstract)；robotic(abstract)；分类 cs.RO

Comments 11 pages, 5 figures, 6 tables

Unsupervised Discovery of Behavioral Primitives from Sensorimotor Dynamic Functional Connectivity

Fernando Diaz Ledezma, Valentin Marcel, Matej Hoffmann

机构 * Munich Institute of Robotics and Machine Intelligence, Technical University of Munich（慕尼黑机器人与机器智能研究所，慕尼黑技术大学） ； Faculty of Electrical Engineering, Czech Technical University in Prague（布拉格捷克技术大学电子工程学院） 纠错

专题命中 机器人学习 ：robot learning(abstract)；robotic(abstract)；分类 cs.RO

Comments 8 pages with 6 figures

SuFIA-BC: Generating High Quality Demonstration Data for Visuomotor Policy Learning in Surgical Subtasks

Masoud Moghani, Nigel Nelson, Mohamed Ghanem, Andres Diaz-Pinto, Kush Hari, Mahdi Azizian, Ken Goldberg, Sean Huver, Animesh Garg

机构 * University of Toronto（多伦多大学） ； NVIDIA（NVIDIA公司） ； Georgia Institute of Technology（佐治亚理工学院） ； University of California, Berkeley（伯克利大学） 纠错

专题命中 机器人学习 ：robot learning(abstract)；manipulation(abstract)；分类 cs.RO

Active Robot Curriculum Learning from Online Human Demonstrations

Muhan Hou, Koen Hindriks, A. E. Eiben, Kim Baraka

专题命中 机器人学习 ：robot learning(abstract)；robotic(abstract)；分类 cs.RO

SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking

Jin Wu, Haoying Zhou, Peter Kazanzides, Adnan Munawar, Anqi Liu

专题命中 机器人学习 ：robotics(abstract)；robotic(abstract)；分类 cs.RO

Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation

Shivam Chaubey, Francesco Verdoja, Ville Kyrki

专题命中 机器人学习 ：manipulation(abstract)；robotic(abstract)；分类 cs.RO

Comments (Accepted/In press) 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Journal ref 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2024, pp. 3635-3642

SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation

Yining Hong, Beide Liu, Maxine Wu, Yuanhao Zhai, Kai-Wei Chang, Linjie Li, Kevin Lin, Chung-Ching Lin, Jianfeng Wang, Zhengyuan Yang, Yingnian Wu, Lijuan Wang

专题命中 机器人学习 ：world model(abstract)；分类 cs.RO、cs.AI、cs.CV

BAKU: An Efficient Transformer for Multi-Task Policy Learning

Siddhant Haldar, Zhuoran Peng, Lerrel Pinto

专题命中 机器人学习 ：robotics(abstract)；manipulation(abstract)；分类 cs.RO

Stabilizing Dynamic Systems through Neural Network Learning: A Robust Approach

Yu Zhang, Haoyu Zhang, Yongxiang Zou, Houcheng Li, Long Cheng

专题命中 机器人学习 ：robotics(abstract)；robotic(abstract)；分类 cs.RO

Comments arXiv admin note: text overlap with arXiv:2309.08849

Towards Natural Language-Driven Assembly Using Foundation Models

Omkar Joglekar, Tal Lancewicki, Shir Kozlovsky, Vladimir Tchuiev, Zohar Feldman, Dotan Di Castro

专题命中 机器人学习 ：robotic(abstract)；分类 cs.RO、cs.AI、cs.CV

Multi-objective Cross-task Learning via Goal-conditioned GPT-based Decision Transformers for Surgical Robot Task Automation

Jiawei Fu, Yonghao Long, Kai Chen, Wang Wei, Qi Dou

专题命中 机器人学习 ：robot learning(abstract)；robotic(abstract)；分类 cs.RO

Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry

Shengchao Yan, Baohe Zhang, Yuan Zhang, Joschka Boedecker, Wolfram Burgard

专题命中 机器人学习 ：robotics(abstract)；robot learning(abstract)；分类 cs.RO

Comments accepted by ICRA 2024

Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Cheng Chi, Zhenjia Xu, Siyuan Feng, Eric Cousineau, Yilun Du, Benjamin Burchfiel, Russ Tedrake, Shuran Song

专题命中 机器人学习 ：robot learning(abstract)；manipulation(abstract)；分类 cs.RO

Comments An extended journal version of the original RSS2023 paper

Symmetric Models for Visual Force Policy Learning

Colin Kohler, Anuj Shrivatsav Srikanth, Eshan Arora, Robert Platt

专题命中 机器人学习 ：manipulation(abstract)；robotic(abstract)；分类 cs.RO

CASOG: Conservative Actor-critic with SmOoth Gradient for Skill Learning in Robot-Assisted Intervention

Hao Li, Xiao-Hu Zhou, Xiao-Liang Xie, Shi-Qi Liu, Zhen-Qiu Feng, Zeng-Guang Hou

专题命中 机器人学习 ：manipulation(abstract)；robotic(abstract)；分类 cs.RO

Comments 13 pages, 5 figure, preprint

Interleaving Monte Carlo Tree Search and Self-Supervised Learning for Object Retrieval in Clutter

Baichuan Huang, Teng Guo, Abdeslam Boularias, Jingjin Yu

专题命中 机器人学习 ：robotics(abstract)；robot learning(abstract)；分类 cs.RO

Comments Accepted by ICRA 2022

Multi-Modal Fusion in Contact-Rich Precise Tasks via Hierarchical Policy Learning

Piaopiao Jin, Yinjie Lin, Yanchao Tan, Tiefeng Li, Wei Yang

专题命中 机器人学习 ：manipulation(abstract)；robotic(abstract)；分类 cs.RO

Learning Cloth Folding Tasks with Refined Flow Based Spatio-Temporal Graphs

Peng Zhou, Omar Zahra, Anqing Duan, Shengzeng Huo, Zeyu Wu, David Navarro-Alarcon

专题命中 机器人学习 ：manipulation(abstract)；robotic(abstract)；分类 cs.RO

Comments 8 pages, 6 figures

Task Decomposition for Iterative Learning Model Predictive Control

Charlott Vallon, Francesco Borrelli

专题命中 机器人学习 ：manipulation(abstract)；robotic(abstract)；分类 cs.LG

Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling

Sungjoon Choi, Kyungjae Lee, Sungbin Lim, Songhwai Oh

专题命中 机器人学习 ：robotics(abstract)；分类 cs.RO、cs.AI、cs.CV

NOIR 2.0: Neural Signal Operated Intelligent Robots for Everyday Activities

NOIR 2.0：神经信号操作的智能机器人用于日常活动

Tasha Kim, Yingke Wang, Hanvit Cho, Alex Hodges

机构 * Institute for Computational and Mathematical Engineering（计算与数学工程研究所） ； Department of Computer Science（计算机科学系） ； Department of Mechanical Engineering（机械工程系） 纠错

专题命中 机器人学习 ：robot learning(abstract,comments)；分类 cs.RO、cs.AI、cs.LG

AI总结 NOIR 2.0通过改进的脑解码算法和少样本学习提升机器人执行日常任务的效率和适应性。

Comments Conference on Robot Learning (CoRL 2024), CoRoboLearn

ILeSiA: Interactive Learning of Robot Situational Awareness from Camera Input

Petr Vanc, Giovanni Franzese, Jan Kristof Behrens, Cosimo Della Santina, Karla Stepanova, Jens Kober, Robert Babuska

机构 * Czech Institute of Informatics, Robotics, and Cybernetics, Czech Technical University in Prague, Czech Republic（捷克信息学、机器人学与自动控制研究所，布拉格捷克技术大学） ； Cognitive Robotics, Delft University of Technology, The Netherlands（认知机器人学，代尔夫特理工大学） 纠错

专题命中 机器人学习 ：robotic(abstract)；分类 cs.RO、cs.CV、cs.LG；robotics(comments)

Comments 8 pages, 9 figures. IEEE Robotics and Automation Letters. Accepted August 2025

Global Tensor Motion Planning

An T. Le, Kay Hansel, João Carvalho, Joe Watson, Julen Urain, Armin Biess, Georgia Chalvatzaki, Jan Peters

机构 * IEEE 纠错

专题命中 机器人学习 ：robot learning(abstract)；分类 cs.RO、cs.AI、cs.LG；robotics(comments)

Comments 8 pages, 3 figures. Accepted at IEEE Robotics and Automation Letters 2025

From explanation to synthesis: Compositional program induction for learning from demonstration

Michael Burke, Svetlin Penkov, Subramanian Ramamoorthy

专题命中 机器人学习 ：robotics(abstract,journal_ref)；分类 cs.RO、cs.CV、cs.LG

Journal ref Proceedings of Robotics: Science and Systems (2019)

Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach

Jaeseok Kim, Nino Cauli, Pedro Vicente, Bruno Damas, Alexandre Bernardino, José Santos-Victor, Filippo Cavallo

专题命中 机器人学习 ：robotic(abstract,comments)；分类 cs.RO、cs.LG

Comments This paper was published in the Journal of Intelligent & Robotic Systems on August 29th, 2019. Link: https://doi.org/10.1007/s10846-019-01072-4

Journal ref Journal of Intelligent & Robotic Systems (2019/08/29). https://doi.org/10.1007/s10846-019-01072-4