Conference Information

AIRC 2027: International Conference on Artificial Intelligence, Robotics, and Control

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Submission Date:
2026-11-20 Due in 56 days
Notification Date:
2026-12-20
Conference Date:
2027-04-06
Location:
Tempe, Arizona, USA
Years:
Viewed: 9162   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

48.6 / 100
Ranked #1,928 of 5,687 conferences · Top 34%

#108 of 470 in Robotics & Control #198 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%)
59
Community attention (10%)
10
Public record completeness (15%)
55

Inputs used: Editions on record: 8 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · 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 2026-09-25

Call For Papers

AIRC 2027 (International Conference on Artificial Intelligence, Robotics, and Control) is an academic conference held in Tempe, Arizona, USA on 2027-04-06. The paper submission deadline is 2026-11-20. Acceptance notifications are sent on 2026-12-20.

The IEEE Robotics and Automation Society is committed to advancing diversity in Robotics and Automation, and to promoting an inclusive and equitable culture that welcomes, engages, and rewards all who contribute to the field, without regard to ethnicity, religion, gender, disability, age, national origin, sexual orientation, gender identity, or gender expression. Topics of interest include, but are not limited to: Track I: Artificial Intelligence * Advanced machine learning paradigms * AI architectures and applications * AI-Generated content moderation and verification * AI-specific hardware * Brain-computer interface * Composable AI systems * Computer vision * Deep/continual/adversarial learning * Deepfake technology and detection * Ethical and responsible AI * Generative adversarial networks * Generative AI for Image and vdeo synthesis * Generative AI tools and applications * Genetic algorithms * Large language models * Meta/transfer/federated learning * Natural language generation * Natural language processing (NLP) * Novel AI applications * Particles swarm optimization * Quantum AI * Robust/explainable decisions * Variational autoencoders Track II: Intelligent Robotics * AI in robots * Autonomous land/underwater/aerial robots * Bio-inspired robots * Coexisting-cooperative-cognitive robots * Distributed and cloud robots * Humanoid robots * Human-robot interaction * Human-robot-environment interaction * Localization and navigation * Medical robots (surgery, rehabilitation) * Micro/nano systems * Multi-finger manipulators * Multimodal interface * Multi-robot systems/Swarm robot/Collaborative robots * Multi-sensor data fusion * Robot design * Robot kinematics/dynamics/control * Robot perception/vision * Sensor/actuator networks * Service robots * Soft robotics and liquid metal robots Track III: Control Engineering * Adaptive and robust control * Computational intelligence in automation * Control of biological systems * Cooperative control * Cyber-physical systems * Data/Event-driven modeling and control * Discrete event systems * Embedded system and wireless sensor network * Factory modeling and simulation * Fault diagnosis * Hybrid systems * Intelligent manufacturing * Intelligent transportation systems * Man-machine interactions * Multi-agent systems * Nano-scale automation and assembly * Networked control systems * Nonlinear systems and control * Optimal control * Power system control * Process control * Production planning, scheduling, and control * System identification * System integration
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