International Conference on Robotics and Machine Vision ICRMV on March 19-21, 2027 in Hangzhou, 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

For more topics, please visit at https://icrmv.org/cfp.html

Name: RIOROB
Website: http://siit.ac.cn