会议信息

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

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AIRC
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截稿日期:
2026-11-20 还有 56 天
通知日期:
2026-12-20
会议日期:
2027-04-06
会议地点:
Tempe, Arizona, USA
届数:
浏览: 9166   关注: 0   参加: 0

会伴指数 (CP-I)

48.6 / 100
全站第 1,928 名 / 共 5,687 个会议 · 前 34%

机器人与控制 第 108 / 470 人工智能与机器学习 第 198 / 741

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
59
社区关注 (10%)
10
资料公开度 (15%)
55

用到的输入: 有据可查的届次：8 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-25

征稿

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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