Intelligent robot systems have been rapidly developed and widely applied in recent years. The research in this area covers various fields, including artificial intelligence, control theory, computer vision, and mechanical engineering. The intelligent robot systems have been applied in many industries, such as manufacturing, healthcare, transportation, and entertainment. The research focuses on developing robots that are capable of performing complex tasks with a high degree of autonomy and adaptability. This requires the development of advanced perception and control algorithms, as well as the integration of various sensors and actuators.
2024 the 9th Asia-Pacific Conference on Intelligent Robot Systems (ACIRS 2024) will be held in Dalian, China between July 18-20, 2024. It's supported by Dalian University of Technology. It is a great opportunity to get together and share ideas and knowledge among the Industry experts, researchers and academics. Several current and upcoming frontier technologies, innovative solutions, research results, as well as enterprises related to Intelligent Robot Systems and their applications will be presented.
ACIRS is an annual event, addressing researchers and industries from all areas of Intelligent Robot Systems. It provides an international forum for the exchange between those fields, to present advances in the state of the art, identify emerging research topics, and together define the future of these exciting research domains.
This conference will feature excellent speakers, major technical parallel sessions, and invited tracks. We hope 2024 ACIRS will be remarkable and an unforgettable event. We invite researchers from Intelligent Robot Systems to participate and submit their work to the program. Likewise, any work on AI that has a relation to any of these fields or potential for the usage in any of them is welcome. You are also welcomed to suggest any topic, activity or scientific program you would like to see covered during the conference. Your active contribution will be crucial to the success of the conference and its impact on our global mission.
Makoto IWASAKI, Nagoya Institute of Technology, Japan (IEEE Fellow)
Mo-Yuen Chow, North Carolina State University, USA (IEEE Fellow)
Rezia Maria Molfino, University of Genova, Italy
Shugen Ma, Ritsumeikan University, Japan (IEEE Fellow)
Yongchun Fang, Nankai University, China
Wei Liu, Dalian University of Technology, China
Kin-Choong Yow, University of Regina, Canada
Xinyu Liu, University of Toronto, Canada
Yuwen Sun, Dalian University of Technology, China
Haibo Liu, Dalian University of Technology, China
Xingjian Liu, Dalian University of Technology, China
Te Li, Dalian University of Technology, China
Jianwei Ma, Dalian University of Technology, China
Yan Bao, Dalian University of Technology, China
Changsheng Dai, Dalian University of Technology, China
Kenji Suzuki, Tokyo Institute of Technology, Japan
Ning Sun, Nankai University, China
Qianchuan Zhao, Tsinghua University, China
Jining Sun, Dalian University of Technology, China
Hongzhou Jiang, Harbin Institute of Technology, China
Xin Dong, University of Nottingham, UK
Yu Wang, Institute of Automation Chinese Academy of Sciences, China
Zaharuddin Mohamed, Universiti Teknologi Malaysia, Malaysia
Ming Xie, Nanyang Technological University, Singapore
Rongxin Cui, Northwestern Polytechnical University, China
Yaguo Lei, Xi’an Jiaotong University, China
Wei Tian, Nanjing University Of Aeronautics And Astronautics, China
Dong Liu, Dalian University of Technology, China
Kuo Liu, Dalian University of Technology, China
Shengquan Li, Yangzhou University, China
Xu Li, Dalian University of Technology, China
Tie Zhao, Dalian University, China
Genliang Chen, Shanghai Jiaotong University, China
Junhui Zhang, Zhejiang University, China
Xiang Li, Xi'an Jiaotong University, China
Yang Zhang, Dalian University of Technology, China
Fugui Xie, Tsinghua University, China
Li Peng, Chongqing University, China
Adriana Del Carmen Téllez, Instituto Tecnológico de Morelia, Mexico
B. K. Rout, Birla Institute of Technology and Science Pilani, Pilani Campus, India
Bolin Zhou, China Automotive Technology & Research Center, China
Chun Yi Su, Concordia University, Canada
Chunhua Liu, City Unviersity of Hong Kong, Hong Kong, China
Elammaran Jayamani, Swinburne University of Technology Sarawak campus, Malaysia
Farshad Khorrami, New York University, USA
Fengxia Wang, Soochow University, China
Gang Xiong, Institute of automation, Chinese academy of sciences, China
Giuseppe Carbone, University of Calabria, Italy
Jarot Sembodo Suroso, Bina Nusantara University, Indonesia
Jianchuan Guo, Tiangong University, China
Jianqiang Li, Shenzhen University, China
Jie Yan, Bowie State University, USA
Jun Zhou, Hohai University, China
Lanying Zhao, Institute of Disaster Prevention, China
M Muzammil, Aligarh Muslim University, India
Manuel Jr. Ramos, University of the Philippines Diliman, Philippines Minoru Sasaki, Gifu University, Japan
Mohammed CHADLI, University Paris-Saclay, Univ Evry, IBISC, France
Muhammad Ilhamdi Rusydi, Andalas University, Indonesia
Mu-Song Chen, Da-Yeh University, Taiwan, China
Omar Farooq, Aligarh Muslim University, Aligarh, India
Qingxiang Wu, Nankai University, China
Rui Wang, Institute of Automation, Chinese Academy of Sciences, China
Shaoqiong Yang , Tianjin University, China
Wei Tang, Northwestern Polytechnical University, China
Wen Cheng Lai, National Taiwan University of Science and Technolog, Taiwan, China
Wen-Jer Chang, National Taiwan Ocean University, China
Xianlong Ma, Northwestern Polytechnical University, China
Yaozhong Zhang, Northwestern Polytechnical University, China
Yuanyuan Yang, Xiamen University, China
Yunian Shen, Nanjing University of Science and Technology Nanjing, China
Zhiyong Shan, Wichita State University, USA
ACIRS 2024 addresses researchers and industries from all areas of Intelligent Robot Systems. It provides an international forum for the exchange between those fields, to present advances in the state of the art, identify emerging research topics, and together define the future of these exciting research domains. We invite researchers to participate and submit their work to the program. Likewise, any work on AI that has a relation to any of these fields or potential for the usage in any of them is welcome.
The IEEE Robotics and Automation Society is committed to advancing diversity in Robotics and Automation, and to promoting an inclusive and equitable culture that welcomes, engages, and rewards all who contribute to the field, without regard to ethnicity, religion, gender, disability, age, national origin, sexual orientation, gender identity, or gender expression.
1. Robot Design and Control
Biomimetic robotics
Mechanism and robot design
Micro/nanorobotics technology
Modular robotics
Motion planning
Multi-robot systems
Navigation / localization
Robot system analysis
Soft robotics
Swarm intelligent robotics
2. Robotics Applications
Aerial vehicles
Agriculture robots
Climate robotics
Domestic personal robots
Industrial robotic systems
Intelligent transport systems
Medical/rehabilitation robotics
Professional service robots
Rescue robots
Service/Life support robots
Space robot
Underwater / aerial robots
Wearable robot
3. Artificial Intelligence and Robotics
AI platforms for VR/AR, cloud-based platforms
Autonomous systems
Data analysis and validation
Distributed intelligence systems
Humanoids
Human-robot Interface
Intelligent control
Intelligent security and surveillance systems
Intelligent systems engineering
Mobiligence
Multi-agent systems
Multi-level systems
Navigation/Localization
Networked robots
Perception/Learning
Robot simulations
Sensors, sensor-fusion, and sensor-based control
Simulation and vrtual reality
System components, virtual reality platforms
Tracking, physical environment mapping, registration
Visual servoing/robot vision
4. Robotics and Computer-Integrated Manufacturing
Adaptive and sustainable manufacturing
Big data analytics in manufacturing
Cloud-based manufacturing
Cyber-physical production systems
Human-robot collaborative manufacturing
Intelligent production line/factory
IOT technology for manufacturing
Machine learning in manufacturing
Measurement-machining integrated manufacturing
Modelling of manufacturing system
On-machine/line measurement
Robotics manufacturing system
Robotics measurement
Smart mechatronics system
07月18日
2024
07月20日
2024
初稿截稿日期
注册截止日期
2023年07月07日 中国 Xi'an
2023 8th Asia-Pacific Conference on Intelligent Robot Systems2022年07月01日 中国 Tianjin
2022 7th Asia-Pacific Conference on Intelligent Robot Systems2021年07月16日 日本 Tokyo
2021 6th Asia-Pacific Conference on Intelligent Robot Systems2018年07月21日 新加坡
2018 3rd Asia-Pacific Conference on Intelligent Robot Systems2017年06月16日 中国 Wuhan,China
2017年IEEE亚太智能机器人系统会议2016年07月20日 日本 Tokyo,Japan
2016年IEEE亚太智能机器人系统会议
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