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检索条件"任意字段=26th International Conference on Methods and Models in Automation and Robotics"
1175 条 记 录,以下是11-20 订阅
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2011 16th international conference on methods and models in automation and robotics, MMAR 2011
2011 16th International Conference on Methods and Models in ...
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2011 16th international conference on methods and models in automation and robotics, MMAR 2011
the proceedings contain 77 papers. the topics discussed include: frequency response identification in the case of periodic disturbances;experimental parameter identification for a control-oriented model of the thermal...
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14th international conference on methods and models in automation and robotics, MMAR'09 - Proceedings
14th International Conference on Methods and Models in Autom...
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14th international conference on methods and models in automation and robotics, MMAR'09
the proceedings contain 122 papers. the topics discussed include: observer-based control of a continuous stirred tank reactor with recycle time-delay;sensitivity analysis of time delay hyperbolic optimal control probl...
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Utilizing Large Language models for Robot Skill Reward Shaping in Reinforcement Learning  17th
Utilizing Large Language Models for Robot Skill Reward Shapi...
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17th international conference on Intelligent robotics and Applications
作者: Guo, Qi Liu, Xing Hui, Jianjiang Liu, Zhengxiong Huang, Panfeng Northwestern Polytech Univ Res Ctr Intelligent Robot Sch Astronaut Xian 710072 Peoples R China Beijing Inst Tracking & Telecommun Technol Beijing 100094 Peoples R China
In this paper, we examines the integration of LLMs in designing reward functions for reinforcement learning (RL) to enhance robotic applications with minimal human input. In RL, the reward function is pivotal, guiding... 详细信息
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Few-Shot N-Ary Knowledge Inference Using Large Language models  1
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17th international conference on Intelligent robotics and Applications
作者: Lang, Fang Song, Wei Zhu, Qiuguo Zhu, Shiqiang Zhejiang Univ Hangzhou Peoples R China Zhejiang Univ Inst Robot Ningbo Peoples R China Zhejiang Lab Hangzhou Peoples R China
Predicting object locations in everyday scenarios is critical for service robots performing tasks such as object search and planning. Previous knowledge reasoning methods mostly use object class for prediction while n... 详细信息
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Machine Learning models for Gait Phases Detection Using Surface Electromyography Signals  17th
Machine Learning Models for Gait Phases Detection Using Surf...
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17th international conference on Intelligent robotics and Applications
作者: Feng, Zhiyang Jiang, Zhengxuan Liu, Huayue Wang, Wenkong Wang, Yiqi Lu, Chang Ma, Xin Li, Yibin Song, Rui Zhang, Huanghe Shandong Univ Sch Control Sci & Engn Ctr Robot Jinan Shandong Peoples R China Univ Warwick Coventry W Midlands England Heidelberg Univ Fac Med Heidelberg Germany Heidelberg Univ Hosp Inst Computat Biomed Heidelberg Germany
Accurate gait phase detection is a fundamental technology for wearable rehabilitation robots, enabling them to deliver effective, safe, and personalized assistance that closely aligns with the therapeutic needs and sa... 详细信息
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Human-Robot Pose Tracking Based on CNN with Color and Geometry Aggregation  16th
Human-Robot Pose Tracking Based on CNN with Color and Geo...
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16th international conference on Social robotics, ICSR + InnoBiz 2024
作者: Xu, Yue Zhang, Yinlong Liu, Shuai Liu, Yuanhao Liang, Wei He, Hongsheng Shenyang University of Technology Shenyang110020 China Guangzhou Institute of Industrial Intelligence Guangzhou511458 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China Department of Computer Science The University of Alabama TuscaloosaAL35487 United States
Accurately tracking the robotic arm and human joints is crucial to ensure safety during human-robot interaction. However, traditional pose tracking methods often exhibit insufficient performance and robustness in comp... 详细信息
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Integrating Retrospective Framework in Multi-Robot Collaboration
Integrating Retrospective Framework in Multi-Robot Collabora...
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international conference on Autonomous Robots and Agents, ICARA
作者: Jiazhao Liang Hao Huang Yu Hao Geeta Chandra Raju Bethala Congcong Wen Yi Fang NYUAD Center for Artificial Intelligence and Robotics (CAIR) Abu Dhabi UAE Embodied AI and Robotics (AIR) Lab NYU Abu Dhabi UAE New York University Abu Dhabi UAE New York University US
Recent advancements in Large Language models (LLMs) have demonstrated substantial capabilities in enhancing communication and coordination in multi-robot systems. However, existing methods often struggle to achieve ef... 详细信息
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19th international conference on Computer Aided Systems theory, EUROCAST 2024
19th International Conference on Computer Aided Systems Theo...
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19th international conference on Computer Aided Systems theory, EUROCAST 2024
the proceedings contain 104 papers. the special focus in this conference is on Computer Aided Systems theory. the topics include: Influence of Spike Encoding, Neuron models and Quantization on SNN Perfo...
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Field Oriented Control of BLDC Motors for Unmanned Underwater Vehicle (UUV)
Field Oriented Control of BLDC Motors for Unmanned Underwate...
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international conference on Autonomous Robots and Agents, ICARA
作者: Basavaraj S Talikoti Devindra M Chitguppa Rahul Kumar Mohan Karnik Automation Solutions PDIC Bharat Electronics Limited Bengaluru India
this paper delves into the domain of Brushless Direct Current (BLDC) Motors that have become significantly popular in modern day applications like automotive, aerospace, robotics (unmanned vehicles) etc. because of th... 详细信息
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19th international conference on Computer Aided Systems theory, EUROCAST 2024
19th International Conference on Computer Aided Systems Theo...
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19th international conference on Computer Aided Systems theory, EUROCAST 2024
the proceedings contain 104 papers. the special focus in this conference is on Computer Aided Systems theory. the topics include: Influence of Spike Encoding, Neuron models and Quantization on SNN Perfo...
来源: 评论