Scopes
(Including but not limited to the following topics)
Track 1: Industrial Robots
High-precision motion control and trajectory planning of industrial robots
Multimodal perception and environmental interaction of robots
Safety control of collaborative robots and human-machine collaboration
Intelligent grasping and flexible assembly of industrial robots
Clustered collaborative operations and scheduling optimization of robots
Technological innovations of special industrial robots (welding/ spraying/picking)
Offline programming and digital twin system for robots
Reliability design and fault diagnosis of industrial robots
Robot end effectors and intelligent tools
Standardization and communication protocols for industrial robots
Cloud-edge-end collaborative robot systems
5G/6G wireless control of industrial robots
Digital twin-driven intelligent production lines
Flexible manufacturing with human-machine-material collaboration
Energy efficiency optimization and carbon footprint tracking of industrial robots
Open-source industrial robot platforms
Industrial robot innovation application cases
Track 2: Artificial Intelligence
Robot vision perception driven by deep learning
Application of reinforcement learning in robot control
Autonomous decision-making and task planning of robots
Intelligent collaboration and game strategy of multiple robots
Imitation learning and robot skill transfer
Robot scene understanding and semantic modeling
Adaptation to industrial scenarios with small sample learning
Embedded deployment of artificial intelligence models
Robot knowledge graph and reasoning system
Security and trusted control of artificial intelligence robots
Testing and verification of artificial intelligence robot systems
Ethics and industry norms of artificial intelligence
Track 3: Control Technology
Adaptive robust control of industrial robots
Intelligent control methods for nonlinear systems
Force-position hybrid control and impedance regulation
Delay compensation in networked control systems
Predictive control and optimization scheduling
Development of embedded real-time control platforms
Motion control chips and hardware acceleration
Digital twin and simulation of control systems
Fault tolerance and system reconfiguration technologies
Industrial control network security protection
Standardization and transplantation of control algorithms
Case studies of major engineering control systems
......
Track 1: Industrial Robots
High-precision motion control and trajectory planning of industrial robots
Multimodal perception and environmental interaction of robots
Safety control of collaborative robots and human-machine collaboration
Intelligent grasping and flexible assembly of industrial robots
Clustered collaborative operations and scheduling optimization of robots
Technological innovations of special industrial robots (welding/ spraying/picking)
Offline programming and digital twin system for robots
Reliability design and fault diagnosis of industrial robots
Robot end effectors and intelligent tools
Standardization and communication protocols for industrial robots
Cloud-edge-end collaborative robot systems
5G/6G wireless control of industrial robots
Digital twin-driven intelligent production lines
Flexible manufacturing with human-machine-material collaboration
Energy efficiency optimization and carbon footprint tracking of industrial robots
Open-source industrial robot platforms
Industrial robot innovation application cases
Track 2: Artificial Intelligence
Robot vision perception driven by deep learning
Application of reinforcement learning in robot control
Autonomous decision-making and task planning of robots
Intelligent collaboration and game strategy of multiple robots
Imitation learning and robot skill transfer
Robot scene understanding and semantic modeling
Adaptation to industrial scenarios with small sample learning
Embedded deployment of artificial intelligence models
Robot knowledge graph and reasoning system
Security and trusted control of artificial intelligence robots
Testing and verification of artificial intelligence robot systems
Ethics and industry norms of artificial intelligence
Track 3: Control Technology
Adaptive robust control of industrial robots
Intelligent control methods for nonlinear systems
Force-position hybrid control and impedance regulation
Delay compensation in networked control systems
Predictive control and optimization scheduling
Development of embedded real-time control platforms
Motion control chips and hardware acceleration
Digital twin and simulation of control systems
Fault tolerance and system reconfiguration technologies
Industrial control network security protection
Standardization and transplantation of control algorithms
Case studies of major engineering control systems
......
Important Dates/重要日期
- Submission Deadline: 2026.4.7
- Registration Deadline: 2026.4.14
- Conference Date: 2026.4.22
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: icagdta_conf@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
徐老师
+86-15680829715(微信同号)
1347638002
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