Conference Information

RAAI 2026: International Conference on Robotics, Automation, and Artificial Intelligence

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Submission Date:
2026-10-10 Due today Extended
Notification Date:
2026-11-05
Conference Date:
2026-12-18
Location:
Singapore
Years:
6
Organizer:
Viewed: 10474   Tracked: 0   Attend: 2
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RAAI
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Conference Partner Index (CP-I)

45.2 / 100
Ranked #2,826 of 5,694 conferences · Top 50%

#176 of 470 in Robotics & Control #311 of 741 in Artificial Intelligence & Machine Learning

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%)
52
Community attention (10%)
20
Public record completeness (15%)
35

Inputs used: Editions on record: 6 · Researchers who opened this page in the past 24 months: 13

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 45% - 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 2026-10-09

Call For Papers

RAAI 2026 (International Conference on Robotics, Automation, and Artificial Intelligence) is an academic conference held in Singapore on 2026-12-18. The paper submission deadline is 2026-10-10 (extended). Acceptance notifications are sent on 2026-11-05.

RAAI 2026 aims to provide an international platform to present technological advances, launch new ideas and showcase research work in the field of Robotics, Automation and Artificial Intelligence. Topics of interest for submission include, but are not limited to: Track 1: Robotics and Automation Autonomous control and systems Ground and mobile robotics Robotic manipulation Unmanned aerial and marine vehicles Spacecraft and underwater vehicles Track 2: Control Systems and Theory Control applications and systems Hybrid and nonlinear control Model predictive and robust control Functional safety and system stability Stochastic and variable structure control Track 3: Artificial Intelligence Machine learning and deep learning Intelligent systems and expert systems Computational intelligence and neural networks Fuzzy systems and knowledge representation Quantum control and AI applications Track 4: Sensors, Measurements, and Signal Processing Sensor design and measurements Signal processing and feature extraction Artificial muscle actuators Modeling and simulations Power semiconductor modeling Track 5: Applications and Systems Integration Industrial and intelligent manufacturing systems Healthcare and bio-robotics Maritime and mechatronic systems Smart energy and smart grids Renewable energy control and systems integration
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