Scopes
(Including but not limited to the following topics)
Track 1: Robotics
Robot perception, interaction and operation
Robot mechanism design
Robot dynamics analysis
Robots and sensors, actuators
Path planning, motion analysis and obstacle avoidance
Robot posture control and stability
Behavior decision-making and control
Natural interaction and interaction among humans, machines and environment
Robot navigation, precise positioning and control
Soft robots
Multifunctional hands, soft grasping and manipulation
Process self-control, operation measurement control and regulation
State monitoring, fault diagnosis and optimization
Detection, data collection and processing
Warning and automatic processing
Target recognition and tracking
Track 2: Embodied Intelligence
Machine learning algorithms and applications
Simulation, datasets and environment
Safety, interpretability and ethics of embodied intelligence
Standardization of embodied intelligence assessment protocols
Architecture design of basic models for autonomous robots
World models for embodied intelligent agents
Efficient and low-latency inference for real-world deployment
Scaling laws and emergent capabilities in embodied systems
Theoretical basis of embodied intelligence
Zero-shot, small-shot and long-tail learning of embodied agents
Continuous/lifelong learning in dynamic environments
Learning, adaptation and generalization in embodied systems
Biological information processing
Natural speech processing/image processing
Track 3: Autonomous Systems
Autonomous navigation of unmanned systems (drones/cars/ships)
Multi-agent cooperative control and game theory
Brain-inspired computing and autonomous systems
Human-machine collaborative decision-making architecture
Safety verification and ethical norms for autonomous systems
Improvement of autonomous perception and cognitive abilities
Autonomous decision support systems
Autonomous collaborative and formation control on multiple platforms
Integrated technologies for autonomous navigation and positioning
Safety and robustness assessment of autonomous systems
Autonomous obstacle avoidance technology for drones and satellites
Real-time environmental perception and response of autonomous systems
Verification and evaluation methods for space and air autonomous systems
Mechanism of human-machine collaboration in autonomous systems
Autonomous adaptation technologies for extreme environments
Intelligent edge computing and integration with autonomous systems ......
Track 1: Robotics
Robot perception, interaction and operation
Robot mechanism design
Robot dynamics analysis
Robots and sensors, actuators
Path planning, motion analysis and obstacle avoidance
Robot posture control and stability
Behavior decision-making and control
Natural interaction and interaction among humans, machines and environment
Robot navigation, precise positioning and control
Soft robots
Multifunctional hands, soft grasping and manipulation
Process self-control, operation measurement control and regulation
State monitoring, fault diagnosis and optimization
Detection, data collection and processing
Warning and automatic processing
Target recognition and tracking
Track 2: Embodied Intelligence
Machine learning algorithms and applications
Simulation, datasets and environment
Safety, interpretability and ethics of embodied intelligence
Standardization of embodied intelligence assessment protocols
Architecture design of basic models for autonomous robots
World models for embodied intelligent agents
Efficient and low-latency inference for real-world deployment
Scaling laws and emergent capabilities in embodied systems
Theoretical basis of embodied intelligence
Zero-shot, small-shot and long-tail learning of embodied agents
Continuous/lifelong learning in dynamic environments
Learning, adaptation and generalization in embodied systems
Biological information processing
Natural speech processing/image processing
Track 3: Autonomous Systems
Autonomous navigation of unmanned systems (drones/cars/ships)
Multi-agent cooperative control and game theory
Brain-inspired computing and autonomous systems
Human-machine collaborative decision-making architecture
Safety verification and ethical norms for autonomous systems
Improvement of autonomous perception and cognitive abilities
Autonomous decision support systems
Autonomous collaborative and formation control on multiple platforms
Integrated technologies for autonomous navigation and positioning
Safety and robustness assessment of autonomous systems
Autonomous obstacle avoidance technology for drones and satellites
Real-time environmental perception and response of autonomous systems
Verification and evaluation methods for space and air autonomous systems
Mechanism of human-machine collaboration in autonomous systems
Autonomous adaptation technologies for extreme environments
Intelligent edge computing and integration with autonomous systems ......
Important Dates/重要日期
- Submission Deadline: 2026.7.30
- Registration Deadline: 2026.8.6
- Conference Date: 2026.8.14
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: contact_pc@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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