会议信息

ICCR 2026: International Conference on Control and Robotics

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ICCR
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截稿日期:
2026-10-25 还有 20 天 Extended
通知日期:
2026-11-15
会议日期:
2026-12-11
会议地点:
Tokyo, Japan
届数:
主办方:
浏览: 8724   关注: 0   参加: 0

会伴指数 (CP-I)

48.9 / 100
全站第 1,872 名 / 共 5,693 个会议 · 前 33%

机器人与控制 第 98 / 470

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%)
13
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：5 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
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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 2026-10-05

征稿

ICCR 2026 (International Conference on Control and Robotics) is an academic conference held in Tokyo, Japan on 2026-12-11. The paper submission deadline is 2026-10-25 (extended). Acceptance notifications are sent on 2026-11-15.

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. The conference organizing committee invites researchers worldwide to submit papers and share the valuable experiences with the scientists from the world. Topics of interest for submission include, but are not limited to: Track I: System Design and Analysis System modeling and identification System prediction Stability analysis Distributed parameter systems Collaborative automative systems Chaotic systems Multi-agent systems Stochastic systems Biomedical systems and biosystems Complex networks Computer controlled system design Cyber physical systems Transportation systems Industrial systems Agent-based systems Cognitive systems Track II: Control Theory and Applications Optimal control Model predictive control Process control Nonlinear control Robust control Variable structure control Distributed control Decentralized control Adaptive control Data-driven control Cooperative control Guidance, navigation and control Parallel systems and parallel control Fault detection, diagnosis and prognostics Networked control systems Embedded control systems Track III: Computational Intelligence and Intelligent Control Fuzzy logic systems and fuzzy control Neural networks and control Nature-inspired computing Intelligent optimization Artificial immune systems Logistics and supply chain optimization Computational finance and economics Genetic algorithms Swarm intelligence and optimization Evolutionary computation Reinforcement learning Adaptive dynamic programming Neurodynamics Spiking neural networks Cognitive and developmental systems Learning control Track IV: Robotics Nano and mechatronic systems 3D simulation and mathematical modeling of robots Environmental perception of robots Reliability, scalability and validation Multi-robot systems Service robots Testing and validation software of robots Offline simulation for robot design Motion planning and learning Human-computer interaction Human-robot interfaces Unmanned aerial vehicles Intelligent autonomous systems Smart sensors Climbing, creeping, and walking robots Soft robotics Track V: Machine learning and artificial intelligence Machine learning Pattern recognition Decision making systems Activity/behaviour recognition Support vector machines Supervised and unsupervised learning Image/video processing and analysis Image/video retrieval Localization, navigation and mapping Music synthesis and speech recognition Scene analysis Target detection, tracking and surveillance Virtual reality Deep learning Parallel intelligence Knowledge representation and reasoning
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