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11th International Conference on Robotics and Machine Vision (ICRMV 2027)

19 – 21 Mar 2027·China

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11th International Conference on Robotics and Machine Vision (ICRMV 2027)

19 Mar 2027 · Hangzhou

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VF82.3.
Automation, Robotics & MechatronicsAI, Machine Learning & GenAI

11th International Conference on Robotics and Machine Vision (ICRMV 2027)

ICRMV 2027

  • Date

    19 - 21 March 2027

  • Location

    Hangzhou, China

  • Event Type

    Conferences & Summits

  • Delivery Format

    Hybrid (Onsite & Online)

Register to Attend
11th International Conference on Robotics and Machine Vision (ICRMV 2027) logo

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

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)

Submission Online Electrical System (.pdf): https://www.zmeeting.org/submission/icrmv2027

Send directly to email: icrmv_conf@163.com.

More detail about submission, please visit at https://icrmv.org/sub.html

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 Venue

Zhejiang University - University of Illinois Urbana-Champaign Institute, ZJUI

No. 718, Haizhou East Road, Haining City, Zhejiang Province

Contact

Ms. Nina Xu (Conference Secretary)

Web: https://www.icrmv.org/

Email: icrmv_conf@163.com

Wechat ID: Iconf-ras

Pricing & Registration

Attendance Fee

$100-500

USD per attendee

Register to Attend

Pricing & Registration

Attendance Fee

$100-500

USD per attendee

Register to Attend

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Follow the event for updates and announcements

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Event Location & Venue

Join us at this world-class venue designed to inspire meaningful connections.

Location

Haining, China

Hangzhou, China

Date & Time

19 - 21 March 2027

Timezone

GMT+8 (Shanghai)

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