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检索条件"机构=Institute of artificial intelligence and robotics"
3915 条 记 录,以下是1-10 订阅
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Representation of Human Arm Dynamic Intents with An Electrical-Impedance-Tomography (EIT)-Driven Musculoskeletal Model for Human-Robot Interaction
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IEEE Transactions on robotics 2025年 41卷 3278-3296页
作者: Zheng, Enhao Liu, Xiaodong Xu, Chenfeng Zhou, Zhihao Wang, Qining State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Institute for Artificial Intelligence Peking University Beijing100871 China Faculty of Engineering School of Advanced Manufacturing and Robotics Peking University The Institute for Artificial Intelligence Beijing100871 China
Representing human arm dynamic intent is essential for efective human-robot interaction. Accurately and robustly decoding these intentions through mathematical modeling of neuromuscular processes poses signifcant chal... 详细信息
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Intelligent Electric Vehicles
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2025年
作者: Shaoshan Liu
Embark on a journey into the future of transportation with Intelligent Electric Vehicles. This comprehensive guide demystifies complex concepts, offering a roadmap to harness the monetization opportunities within the ...
来源: 评论
Human-like dexterous manipulation for anthropomorphic five-fingered hands:A review
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Biomimetic intelligence & robotics 2025年 第1期5卷 35-57页
作者: Yayu Huang Dongxuan Fan Haonan Duan Dashun Yan Wen Qi Jia Sun Qian Liu Peng Wang Institute of Automation Chinese Academy of SciencesBeijing 100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Centre for Artificial Intelligence and Robotics Hong Kong Institute of Science and InnovationChinese Academy of SciencesHong Kong 999077China
Humans excel at dexterous manipulation;however,achieving human-level dexterity remains a significant challenge for *** breakthroughs in the design of anthropomorphic robotic hands,as well as advancements in visual and... 详细信息
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Visual-Linguistic Feature Alignment with Semantic and Kinematic Guidance for Referring Multi-Object Tracking
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IEEE Transactions on Multimedia 2025年 27卷 3034-3044页
作者: Li, Yizhe Zhou, Sanping Qin, Zheng Wang, Le National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center for Visual Information and Applications Institute of Artificial Intelligence and Robotics Xi'an Jiaotong University Shaanxi Xi'an710049 China
Referring Multi-Object Tracking (RMOT) aims to dynamically track an arbitrary number of referred targets in a video sequence according to the language expression. Previous methods mainly focus on cross-modal fusi... 详细信息
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Towards Autonomous Cardiac Ultrasound Scanning: Combining Physician Expertise and Machine intelligence
IEEE Transactions on Medical Robotics and Bionics
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IEEE Transactions on Medical robotics and Bionics 2025年 第2期7卷 782-792页
作者: Hao, Mingrui Zhang, Pengcheng Hou, Xilong Gu, Xiaolin Zhou, Xiao-Hu Hou, Zeng-Guang Chen, Chen Wang, Shuangyi Institute of Automation Chinese Academy of Sciences National Key Laboratory for Multi-Modal Artificial Intelligence Systems Beijing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100043 China Hong Kong Institute of Science and Innovation Chinese Academy of Sciences Centre for Artificial Intelligence and Robotics Hong Kong Hong Kong Lingshu Medical Company Suzhou215123 China
Echocardiography serves as a prevalent modality for both heart disease diagnosis and procedural guidance in medical applications. Nevertheless, the conventional echocardiography examination heavily relies on the manua... 详细信息
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Few-Shot Object Detection via Dual-Domain Feature Fusion and Patch-Level Attention
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清华大学学报自然科学版(英文版) 2025年 第3期30卷 1237-1250页
作者: Guangli Ren Jierui Liu Mengyao Wang Peiyu Guan Zhiqiang Cao Junzhi Yu State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Department of Advanced Manufacturing and Robotics Peking UniversityBeijing 100871China
Few-shot object detection receives much attention with the ability to detect novel class objects using limited annotated *** transfer learning-based solution becomes popular due to its simple training with good accura... 详细信息
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Safe Multi-Agent Reinforcement Learning for Behavior-Based Cooperative Navigation
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IEEE robotics and Automation Letters 2025年 第6期10卷 6256-6263页
作者: Dawood, Murad Pan, Sicong Dengler, Nils Zhou, Siqi Schoellig, Angela P. Bennewitz, Maren University of Bonn Humanoid Robots Lab Bonn53113 Germany Lamarr Institute for Machine Learning and Artificial Intelligence The Center for Robotics Bonn53113 Germany Technical University of Munich Learning Systems and Robotics Lab Munchen80333 Germany
In this letter, we address the problem of behavior-based cooperative navigation of mobile robots usingsafe multi-agent reinforcement learning (MARL). Our work is the first to focus on cooperative navigation without in... 详细信息
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Event-enhanced synthetic aperture imaging
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Science China(Information Sciences) 2025年 第3期68卷 388-390页
作者: Siqi LI Shaoyi DU Jun-Hai YONG Yue GAO Beijing National Research Center for Information Science and Technology School of SoftwareTsinghua University Institute for Brain and Cognitive Sciences Beijing Laboratory of Brain and Cognitive IntelligenceTsinghua University National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center for Visual Information and ApplicationsInstitute of Artificial Intelligence and Robotics Xi'an Jiaotong University
Synthetic aperture imaging(SAI) methods aim to see through dense occlusions and reconstruct the target scene behind occlusions. Traditional frame-based SAI methods,e.g., DeOccNet [1], take the occluded light field ima...
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A Sparsity-Aware Autonomous Path Planning Accelerator with Algorithm-Architecture Co-Design  24
A Sparsity-Aware Autonomous Path Planning Accelerator with A...
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43rd International Conference on Computer-Aided Design, ICCAD 2024
作者: Zhang, Yanjun Niu, Xiaoyu Zhang, Yifan Tian, Hongzheng Yu, Bo Liu, Shaoshan Huang, Sitao Beijing Institute of Technology China University of California Irvine United States Shenzhen Institute of Artificial Intelligence and Robotics for Society China
Path planning is a critical task in autonomous driving systems that is most susceptible to real-time constraints but often demands computationally intensive mathematical solvers, two contradictory goals. This conflict... 详细信息
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Person Segmentation and Action Classification for Multi-Channel Hemisphere Field of View LiDAR Sensors
Person Segmentation and Action Classification for Multi-Chan...
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2025 IEEE/SICE International Symposium on System Integration, SII 2025
作者: Seliunina, Svetlana Otelepko, Artem Memmesheimer, Raphael Behnke, Sven University of Bonn Autonomous Intelligent Systems Group Computer Science Institute VI - Intelligent Systems and Robotics Lamarr Institute for Machine Learning and Artificial Intelligence Center for Robotics Germany
Robots need to perceive persons in their surroundings for safety and to interact with them. In this paper, we present a person segmentation and action classification approach that operates on 3D scans of hemisphere fi... 详细信息
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