机器人 / 具身智能

TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery

Zixu Zhao, Yueming Jin, Pheng-Ann Heng

专题命中 机器人数据与评测 ：robotic(title)；分类 cs.CV

Comments Accepted by ICRA 2022

Deep Generative Framework for Interactive 3D Terrain Authoring and Manipulation

Shanthika Naik, Aryamaan Jain, Avinash Sharma, KS Rajan

专题命中 机器人数据与评测 ：manipulation(title)；分类 cs.CV

Online Information-Aware Motion Planning with Inertial Parameter Learning for Robotic Free-Flyers

Monica Ekal, Keenan Albee, Brian Coltin, Rodrigo Ventura, Richard Linares, David W. Miller

专题命中 机器人数据与评测 ：robotic(title)；分类 cs.RO

Comments 8 pages, 8 figures, IROS 2021 preprint (accepted)

Bumblebee: A Path Towards Fully Autonomous Robotic Vine Pruning

Abhisesh Silwal, Francisco Yandun, Anjana Nellithimaru, Terry Bates, George Kantor

专题命中 机器人数据与评测 ：robotic(title)；分类 cs.RO

Comments 35 pages, 23 images

Automated Generation of Robotic Planning Domains from Observations

Maximilian Diehl, Chris Paxton, Karinne Ramirez-Amaro

专题命中 机器人数据与评测 ：robotic(title)；分类 cs.RO

Comments 8 pages, 5 figures

Hybrid Visual Servoing Tracking Control of Uncalibrated Robotic Systems for Dynamic Dwarf Culture Orchards Harvest

Tao Li, Quan Qiu, Chunjiang Zhao

专题命中 机器人数据与评测 ：robotic(title)；分类 cs.RO

Comments 6 pages,15 figures, accepted by IEEE ICDL2021

OCID-Ref: A 3D Robotic Dataset with Embodied Language for Clutter Scene Grounding

Ke-Jyun Wang, Yun-Hsuan Liu, Hung-Ting Su, Jen-Wei Wang, Yu-Siang Wang, Winston H. Hsu, Wen-Chin Chen

专题命中 机器人数据与评测 ：robotic(title)；分类 cs.CV

Comments NAACL 2021

URoboSim -- An Episodic Simulation Framework for Prospective Reasoning in Robotic Agents

Michael Neumann, Sebastian Koralewski, Michael Beetz

专题命中 机器人数据与评测 ：robotic(title)；分类 cs.AI

A Robotic Positive Psychology Coach to Improve College Students' Wellbeing

Sooyeon Jeong, Sharifa Alghowinem, Laura Aymerich-Franch, Kika Arias, Agata Lapedriza, Rosalind Picard, Hae Won Park, Cynthia Breazeal

专题命中 机器人数据与评测 ：robotic(title)；分类 cs.RO

Comments 8 pages, 5 figures, RO-MAN 2020, Best paper award

Stochastic Grounded Action Transformation for Robot Learning in Simulation

Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, Peter Stone

专题命中 机器人数据与评测 ：robot learning(title)；分类 cs.RO

Comments Accepted at 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020

Modelling and Learning Dynamics for Robotic Food-Cutting

Ioanna Mitsioni, Yiannis Karayiannidis, Danica Kragic

专题命中 机器人数据与评测 ：robotic(title)；分类 cs.RO

Robotic Sculpting with Collision-free Motion Planning in Voxel Space

Abhinav Jain, Seth Hutchinson, Frank Dellaert

专题命中 机器人数据与评测 ：robotic(title)；分类 cs.RO

Snake-Like Robots for Minimally Invasive, Single Port, and Intraluminal Surgeries

Andrew L. Orekhov, Colette Abah, Nabil Simaan

专题命中 机器人数据与评测 ：robotics(abstract,comments)；robotic(abstract)；分类 cs.RO

Comments 41 pages, 18 figures. Preprint of article published in the Encyclopedia of Medical Robotics 2018, World Scientific Publishing Company www.worldscientific.com/doi/abs/10.1142/9789813232266_0008

Journal ref The Encyclopedia of Medical Robotics Volume 1, pp. 203-243 (2018)

Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics

Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh Jha, Diego Romeres, Daniel Nikovski

专题命中 机器人数据与评测 ：robotic(title)；分类 cs.LG

Comments 7 pages

An Integrated Design and Simulation Environment for Rapid Prototyping of Laminate Robotic Mechanisms

Roozbeh Khodambashi, Mohammad Sharifzadeh, Daniel M. Aukes

专题命中 机器人数据与评测 ：robotic(title)；分类 cs.RO

Reconfigurable Manipulator Simulation for Robotics and Multimodal Machine Learning Application: Aaria

Arttu Hautakoski, Mohammad M. Aref, Jouni Mattila

专题命中 机器人数据与评测 ：robotics(title)；分类 cs.RO

Comments preprint before submission to conference: 2018 IEEE International Conference on Automation Science and Engineering , 7 pages

The Free-play Sandbox: a Methodology for the Evaluation of Social Robotics and a Dataset of Social Interactions

Séverin Lemaignan, Charlotte Edmunds, Emmanuel Senft, Tony Belpaeme

专题命中 机器人数据与评测 ：robotics(title)；分类 cs.RO

Comments conference paper

Distributed Camouflage for Swarm Robotics and Smart Materials

Yang Li, John Klingner, Nikolaus Correll

专题命中 机器人数据与评测 ：robotics(title)；分类 cs.RO

Object Recognition from Short Videos for Robotic Perception

Ivan Bogun, Anelia Angelova, Navdeep Jaitly

专题命中 机器人数据与评测 ：robotic(title)；分类 cs.CV

Comments 7 pages, 6 figures, 3 tables

Use of Computer Vision to Detect Tangles in Tangled Objects

Paritosh Parmar

专题命中 机器人数据与评测 ：robotics(abstract,comments)；robotic(abstract,comments)；分类 cs.CV

Comments IEEE International Conference on Image Information Processing; untangle; untangling; computer vision; robotic vision; untangling by robot; Tangled-100 dataset; tangled linear deformable objects; personal robotics; image processing

Target Assignment in Robotic Networks: Distance Optimality Guarantees and Hierarchical Strategies

Jingjin Yu, Soon-Jo Chung, Petros G. Voulgaris

专题命中 机器人数据与评测 ：robotic(title)；分类 cs.RO

KR$^3$: An Architecture for Knowledge Representation and Reasoning in Robotics

Shiqi Zhang, Mohan Sridharan, Michael Gelfond, Jeremy Wyatt

专题命中 机器人数据与评测 ：robotics(title)；分类 cs.AI

Comments The paper appears in the Proceedings of the 15th International Workshop on Non-Monotonic Reasoning (NMR 2014)

LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery

Yuyang Du, Kexin Chen, Yue Zhan, Chang Han Low, Tao You, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng

专题命中 机器人数据与评测 ：robotic(title)；robotics(comments)

Comments This paper has been accapted by 2024 IEEE International Conference on Robotics and Automation (ICRA)

Validating Drone Trust Testing in Navigation Deviation Cases in Simulation

Zahra Rezaei Khavas, Edwin Meriaux, Amin Majdi, Paul Robinette

专题命中 机器人数据与评测 ：navigation(title,comments)

Comments 4 pages, 8 Figures, IROS 2023 workshop Social Robot Navigation: Advances and Evaluation (https://seanavbench23.pages.dev/papers),

Dissecting Embodied Abilities in Multimodal Language Models through Skill-level Evaluation and Diagnosis

通过技能级评估与诊断解构多模态语言模型的具身能力

Yu Qi, Haibo Zhao, Ziyu Guo, Siyuan Ma, Ziyan Chen, Yaokun Han, Renrui Zhang, Zitiantao Lin, Yizhe Zhu, Shiji Xin, Yijian Huang, Boce Hu, Kai Cheng, Peiheng Wang, Jiazheng Liu, Jiayi Zhang, Yizhe Zhu, Wenqing Wang, Yiran Qin, Haojie Huang, Lawson L. S. Wong

机构 * Northeastern University, Boston, MA, USA ； The Chinese University of Hong Kong, Hong Kong, China ； Peking University, Beijing, China ； Westlake University, Hangzhou, China ； Harvard University, Cambridge, MA, USA ； Purdue University, West Lafayette, IN, USA ； University of Oxford, Oxford, United Kingdom 纠错

专题命中 机器人数据与评测 ：embodied agent(abstract)；robotic(abstract)；分类 cs.RO、cs.CV

AI总结 本文提出BEAR基准，通过分解具身任务为14个原子技能进行细粒度评估，发现感知能力是推理失败的主要瓶颈，并提出BEAR-Agent多模态对话代理，显著提升具身技能性能。

Comments Accepted to ICML 2026

PRM-as-a-Judge 1.5: A Toolkit for Robot Process Assessment

PRM-as-a-Judge 1.5：机器人过程评估工具包

Yuyang Liu, Yanqing Shen, Ruike Chen, Jifan Zhao, Yuxuan Tian, Yichi Zhang, Tianfeng Long, Zixuan Yin, Yipu Wang, Ziheng Qin, Wenxing Tan, Yang Shi, Mingyu Cao, Runze Xiao, Ziqi Wang, Zhixin Yin, Shiwei Chu, Yi-Fan Zhang, Yao Mu, Yuheng Ji, Yihao Wang, Jun Yan, Zhongyuan Wang, Pengwei Wang, Xiaolong Zheng

专题命中 机器人数据与评测 ：manipulation(abstract)；robotic(abstract)；分类 cs.RO、cs.CV

AI总结 该研究推出PRM-as-a-Judge 1.5工具包，新增三个评估指标并结合RoboPulse++，发布含基准与可视化工具的评估套件，呼吁建立透明可复现的机器人评估体系。

Comments Project page: https://prm-as-a-judge.github.io

Precise Top-Layer Fabric Segmentation for Fabric Destacking with Edge- and Shape-Aware Deep Networks

结合边缘感知与形状感知深度网络的织物叠堆顶层织物精确分割

Wenbo Dong, Dipankar Bhattacharya, Akinari Kobayashi, Akira Seino, Fuyuki Tokuda, Xuzhao Huang, Kai Tang, Norman C. Tien, Kazuhiro Kosuge

专题命中 机器人数据与评测 ：manipulation(abstract)；robotic(abstract)；分类 cs.RO、cs.CV

AI总结 针对织物叠堆顶层分割的复杂挑战，提出结合边缘感知与形状感知分支的编码器-解码器训练架构，在真实数据集上验证其性能优于现有基准。

Comments 7 pages, 3 figures. Published in IEEE ICMA 2025. Author's accepted manuscript. Code: https://github.com/bhattner143/top-layer-fab-seg

Journal ref 2025 IEEE International Conference on Mechatronics and Automation (ICMA), Beijing, China, Aug. 2025

PhysX-CoT: Structured Physical Reasoning from a Single Image to Simulation-Ready 3D Assets

PhysX-CoT：从单张图像生成可用于仿真的3D资产的结构化物理推理

Jie Huang, Xiaohe Li, Jiahao Li, Fangli Mou, Chen Qian, Yuqiang Fang, Junhao Fan, Kaixin Zhang, Zide Fan

机构 * Space Engineering University（航天工程大学） 纠错

专题命中 机器人数据与评测 ：robotics(abstract)；embodied AI(abstract)；分类 cs.RO、cs.CV

AI总结 PhysX-CoT将单张图像生成仿真3D资产视为显式结构化物理推理过程，通过分解部件级状态轨迹优化相关指标，在多方面优于基线，生成资产在Unreal Engine 5中表现良好。

Towards Trustworthy Embodied Intelligence: A Systems Framework and Graded Trustworthiness Levels

面向可信赖的具身智能：一个系统框架与分级可信赖性水平

Xinyu Yang, Tianxing Chen, Honghao Su, Minxuan Wang, Chenze Yu, Zhangzheng Tu, Yue Chen, Yuxiao Huo, Lingfeng Zhang, Yan Huang, Yan Qin, Shaolong Zhu, Qiwei Liang, Hekun Tian, Shujia Liu, Guangyu Chen, Junhao Gong, Zixuan Li, Wenwei Lin, Zijian Lin, Wenxuan Zhu, Eric J Chen, Yue Yuan, Qize Yu, Jiaqi Liang, Haowen Yan, Hengfei Zhao, Weijie Wan, Zikun Xiao, Junyuan Tang, Baijun Chen, Kai-Chong Lei, Kaixuan Wang, Kailun Su, Zanxin Chen, Yao Mu, Renjing Xu, Chuqiao Lyu, Qi Xiong, Ping Luo, Wenbo Ding

机构 * THU（清华大学） ； PKU（北京大学） ； HKUST (GZ)（香港科技大学（广州）） 纠错

专题命中 机器人数据与评测 ：robotics(abstract)；embodied AI(abstract)；分类 cs.RO、cs.AI

AI总结 该研究提出具身智能可信赖性的四层系统框架，构建涵盖多维度的可信赖性水平层级，为具身智能的可信赖部署、评估等提供依据。

Comments Website: https://xsparkai.com/sparklab/towards-trustworthy-eai

Self-Supervised Consistency Enhanced Disentangled Learning for Neural Decoding Generalization in Brain-Machine Interface

用于脑机接口神经解码泛化的自监督一致性增强解缠学习

Jiyu Wei, Di Hong, Zhanjie Zhang, Dazhong Rong, Qinming He, Yueming Wang

机构 * College of Computer Science and Technology, Zhejiang University（浙江大学计算机科学与技术学院） ； Nanhu Brain-Computer Interface Institute（南湖脑机接口研究院） 纠错

专题命中 机器人数据与评测 ：robotics(abstract)；robotic(abstract)；分类 cs.RO、cs.AI

AI总结 研究脑机接口因神经漂移致性能下降问题，提出自监督一致性增强解缠学习框架（SSCDL）。通过设计一致性增强神经解码器及采用互补解缠泛化机制，学习鲁棒表征，实现跨日泛化，提升解码性能，展现长期交互潜力。