Meetings: 37947
2027 11th International Conference on Robotics and Machine Vision (ICRMV 2027) 2027-3-19 venue:杭州市

Full name: 2027 11th International Conference on Robotics and Machine Vision (ICRMV 2027)
Abbreviation: ICRMV 2027
Time: March 19-21, 2027
Place: Haining, China



Call for paper:
Topics of interest for submission include, but are not limited to:
Topic 1. Machine Learning in Robotics
Supervised, unsupervised, and reinforcement learning for robotics
Adaptive and autonomous robot control systems
Robot learning from demonstration and imitation
Learning-based motion planning and navigation
Multi-robot learning and coordination
 
Topic 2. Deep Learning in Robotics
Deep reinforcement learning for robotic control
Convolutional Neural Networks (CNNs) for robotic perception
Recurrent Neural Networks (RNNs) for sequential robot tasks
Deep learning for robot localization and mapping (SLAM)
End-to-end learning for robotic manipulation and locomotion

Topic 3. Machine Vision and Perception
Image and video analysis for robotic applications
3D vision, structure from motion, and depth perception
Visual tracking, object detection, and pose estimation
Semantic and instance segmentation for scene understanding
Vision-based manipulation, grasping, and tactile-visual integration
 
Topic 4. Robotics Fundamentals and Control
Robot kinematics, dynamics, and motion planning
Multi-robot systems, swarm robotics, and coordination
Human-robot interaction and collaborative robotics
Soft robotics, bio-inspired robotics, and reconfigurable robots
Robot perception, state estimation, and sensor networks

Topic 5. Applications of Machine Learning and Vision in Robotics
Healthcare, surgical, and rehabilitation robotics
Industrial automation, manufacturing, and logistics
Autonomous vehicles, drones, and intelligent transportation systems
Service, social, and assistive robotics
Agricultural, field, and forestry robotics
 
Topic 6. Theoretical Foundations and Real-World Deployments
Advances in neural network architectures for robotic vision
Statistical learning, scalability, and real-time efficiency
Explainability, interpretability, and safety of robotic learning models
Robustness, generalization, and domain adaptation in real-world environments
Benchmarking, performance evaluation, and case studies of deployed systems

Publication:
ICRMV 2027 accepted papers will be collected in ICRMV 2027 Conference Proceedings, and indexed by Ei Compendex and Scopus.

Submission:
1. Full paper (Publication and Presentation)
2. Abstract (Only Presentation)

Conference Schedule:
March 19th, 2027 | Registration & Material Collecting
March 20th, 2027 | Opening Remark & Keynote Speeches & Author's Presentations
March 21st, 2027 | Invited Speeches & Author's Presentations




Conference website
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