Conference Information

M2VIP 2023: IEEE International Conference on Mechatronics and Machine VisionI in Pactice

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Submission Date:
2023-07-14
Notification Date:
2023-09-09
Conference Date:
2023-11-21
Location:
Queenstown, New Zealand
Viewed: 11442   Tracked: 0   Attend: 1

Conference Partner Index (CP-I)

42.1 / 100
Ranked #4,153 of 5,687 conferences · Top 74%

#304 of 470 in Robotics & Control

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-25

Call For Papers

M2VIP 2023 (IEEE International Conference on Mechatronics and Machine VisionI in Pactice) is an academic conference held in Queenstown, New Zealand on 2023-11-21. The paper submission deadline is 2023-07-14. Acceptance notifications are sent on 2023-09-09.

The topics covered in the conference will include, but not be limited to: - Machine learning, artificial and computational intelligence - Manipulative, mobile, walking, flying, humanoid and biomimetic robots - Agricultural Robotics - Human-machine/Human-robot interfaces - Machine vision, image process and pattern recognition - Surgical robots and mechatronics in medicine - Autonomous cars and electrical car technologies - 3D printing technologies and additive manufacturing - Smart actuators, smart materials, and drive technologies - Sensors, sensor fusion & sensor networks - Bioinspired and soft robotics - Localization/SLAM for mechatronic and robotics systems - Intelligent control and automation - Robotic rehabilitation systems - Wearable assistive devices - Real-time programming and intelligence - Signal processing and embedded systems - Manufacturing automation, control and optimization - Remote assistance, VR and AR
Last updated by Dou Sun on

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