会议信息

ICRMV 2027: International Conference on Robotics and Machine Vision

请登录查看会议网址
免费注册：查看官网链接、跟踪截稿日期，并接收邮件提醒。
登录 注册

截稿日期:
2026-11-01 还有 137 天
通知日期:
2026-12-01
会议日期:
2027-03-19
会议地点:
Haining, China
届数:
11
浏览: 14638   关注: 0   参加: 0

征稿

ICRMV 2027 (International Conference on Robotics and Machine Vision) is an academic conference held in Haining, China on 2027-03-19. The paper submission deadline is 2026-11-01. Acceptance notifications are sent on 2026-12-01.

The conference focuses on innovative and original research results in robotics, machine vision, and their integration through learning-based approaches. Both theoretical papers and experimental/simulation studies are welcome. Topics of interest include, but are not limited to: 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 Transfer learning and domain adaptation for robotic applications 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 Self-supervised and semi-supervised learning for robotics 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 Sensor fusion (vision, LiDAR, radar, IMU) and multi-modal perception 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 Real-time and embedded control architectures 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 Exploration, search and rescue, and planetary robotics 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 Ethical considerations, legal frameworks, and human-centric design
由 Admin Myhuiban 最后更新于

相关会议

CCFCOREQUALIS简称全称截稿日期通知日期会议日期
aa*a1SIGIRInternational Conference on Research and Development in Information Retrieval2026-01-152026-04-022026-07-20
aa*a1AAAIAAAI Conference on Artificial Intelligence2026-07-212026-11-302027-02-16
aa*a1CVPRIEEE Conference on Computer Vision and Pattern Recognition2025-11-062026-02-202026-06-03
bba1ICRAInternational Conference on Robotics and Automation2025-09-152026-06-01
aa*a1IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
aa*a1STOCACM Symposium on Theory of Computing2025-11-042026-02-012026-06-22
cba2ICCInternational Conference on Communications2025-10-132026-01-122026-05-24
caa2IJCNNInternational Joint Conference on Neural Networks2025-01-152025-03-312025-06-30
bba1ICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-01-132027-05-16
ba*a1PODSACM SIGMOD Conference on Principles of DB Systems2026-12-032027-03-012027-06-13

相关期刊

CCF全称影响因子出版商ISSN
cMachine Vision and Applications2.3Springer0932-8092
bIEEE Transactions on Multimedia9.7IEEE1520-9210
cKnowledge-Based Systems7.2Elsevier0950-7051
bSoftware & Systems Modeling3.2Springer1619-1366
aIEEE Transactions on Computers3.8IEEE0018-9340
cFuture Generation Computer Systems6.1Elsevier0167-739X
cNeurocomputing6.5Elsevier0925-2312
cPattern Recognition Letters3.9Elsevier0167-8655
bPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

评论 0

暂无评论。

请登录后发表评论

广告