会议信息

ICCCR 2027: International Conference on Computer, Control and Robotics

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截稿日期:
2027-01-01 还有 79 天
通知日期:
2027-02-01
会议日期:
2027-05-14
会议地点:
Chengdu, China
届数:
浏览: 19795   关注: 13   参加: 1
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ICCCR
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会伴指数 (CP-I)

51.2 / 100
全站第 1,372 名 / 共 5,696 个会议 · 前 25%

机器人与控制 第 53 / 469

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%)
56
社区关注 (10%)
43
资料公开度 (15%)
55

用到的输入: 有据可查的届次:7 · 在会伴关注它的研究者:13 人 · 过去 24 个月打开过本页的研究者:9 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 2026-10-13

征稿

ICCCR 2027 (International Conference on Computer, Control and Robotics) is an academic conference held in Chengdu, China on 2027-05-14. The paper submission deadline is 2027-01-01. Acceptance notifications are sent on 2027-02-01.

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. Prospective authors are invited to submit high-quality original technical papers for presentation at the conference and publication in the conference proceedings. Please check the topics of ICCCR 2027. The topics are not limited to those as below: Track 1: Artificial Intelligence and Machine Learning / 人工智能与机器学习 (This track focuses on AI-driven methods and learning-based approaches in computing, control, and robotics. Topics are interested but not limited to the following) * Deep learning, reinforcement learning, and meta-learning 深度学习、强化学习与元学习 * Generative AI and foundation models 生成式人工智能与基础模型 * Explainable and trustworthy AI 可解释与可信人工智能 * Federated learning and edge intelligence 联邦学习与边缘智能 * Self-supervised and unsupervised learning 自监督与无监督学习 * AI for robotics perception and decision-making 面向机器人感知与决策的人工智能 Track 2: Control Theory and Intelligent Control Systems / 控制理论与智能控制系统 (This track addresses modern control theory and its applications in complex systems. Topics are interested but not limited to the following) * Nonlinear, adaptive, and robust control 非线性、自适应与鲁棒控制 * Optimal control and model predictive control (MPC) 最优控制与模型预测控制 * Distributed and cooperative control systems 分布式与协同控制系统 * Data-driven and learning-based control 数据驱动与学习型控制 * Networked control systems 网络化控制系统 * Cyber-physical systems control 信息物理融合系统控制 Track 3: Robot Perception and Autonomous Decision-Making / 机器人感知与自主决策 (This track focuses on enabling intelligent perception and autonomous decision-making in robotics. Topics are interested but not limited to the following) * Computer vision and 3D perception 计算机视觉与三维感知 * SLAM (Simultaneous Localization and Mapping) 同步定位与地图构建 * Multi-sensor fusion 多传感器融合 * Scene understanding and object recognition 场景理解与目标识别 * Motion planning and trajectory optimization 运动规划与轨迹优化 * Autonomous navigation systems 自主导航系统 Track 4: Robotic Systems and Applications / 机器人系统与应用 (This track focuses on robotic system design and real-world applications. Topics are interested but not limited to the following) * Industrial robotics and smart manufacturing 工业机器人与智能制造 * Service and social robotics 服务机器人与社交机器人 * Medical and rehabilitation robotics 医疗与康复机器人 * UAVs, UGVs, and UUVs 无人机、无人车与水下机器人 * Soft robotics and bio-inspired systems 软体机器人与仿生系统 * Human-robot collaboration systems 人机协作系统 Track 5: Intelligent Computing and Computer Systems / 智能计算与计算机系统 (This track explores advanced computing architectures and intelligent computing technologies. Topics are interested but not limited to the following) * High-performance computing (HPC) 高性能计算 * Cloud, edge, and fog computing 云计算、边缘计算与雾计算 * Distributed and parallel systems 分布式与并行计算系统 * Embedded and real-time systems 嵌入式与实时系统 * AI accelerators and hardware design AI加速器与硬件设计 * Computer architecture optimization 计算机体系结构优化 Track 6: Networks and Communication in Intelligent Systems / 智能系统中的网络与通信 (This track focuses on communication technologies for robotics and intelligent systems. Topics are interested but not limited to the following) * 5G/6G-enabled robotics 5G/6G赋能机器人系统 * Internet of Things (IoT) and industrial IoT 物联网与工业物联网 * Wireless sensor networks 无线传感网络 * Multi-robot communication and coordination 多机器人通信与协同 * Low-latency communication systems 低延迟通信系统 * Cybersecurity and privacy protection 网络安全与隐私保护 Track 7: Human-Centered Robotics and Human–Machine Interaction / 人机交互与以人为中心的机器人 (This track emphasizes interaction between humans and intelligent systems. Topics are interested but not limited to the following) * Human-computer interaction (HCI) 人机交互技术 * Augmented/Virtual Reality (AR/VR) 增强现实与虚拟现实 * Brain-computer interfaces (BCI) 脑机接口 * Social and emotional robotics 情感计算与社交机器人 * Wearable and assistive robotics 可穿戴与辅助机器人 * Safety and ethics in human-robot systems 人机系统安全与伦理
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