刘康丞，工学博士，湖南大学教授，博士生导师、硕士生导师
机器人视觉感知与控制技术国家工程中心研究员
国家级高层次青年人才 岳麓学者
联系邮箱：kcliu@hnu.edu.cn
本科毕业于哈尔滨工业大学，博士毕业于香港中文大学。曾任加州理工学院和苏黎世联邦理工学院访问资深科学家。现任湖南大学教授、博士生导师，机器人视觉感知与控制技术国家工程中心研究员，国家级高层次青年人才，岳麓学者。
围绕可泛化机器人感知与作业开展广泛深入科学研究与工程探索，在多本IEEE汇刊、计算机视觉国际期刊等发表人工智能、机器人感知与控制相关高水平论文六十余篇。以第一和通讯作者发表研究工作三十余篇。担任国际人工智能、计算机科学、控制工程多个国际顶级期刊与会议含Nature Machine Intelligence、Artificial Intelligence Journal、International Journal of Computer Vision、International Journal of Robotics Research、Journal of Machine Learning Research、ACM Transactions on Graphics、IEEE Transactions on Pattern Analysis and Machine Intelligence、CVPR、ICCV、ECCV、RSS、ICRA的审稿专家、编委会成员、或研讨会主席/领域主席。国际多个开源三维感知重要代码库如3D-Det、RM3D、DLC-SLAM等主要负责人与贡献人，曾获GitHub国际开源代码库最多星标贡献人奖。现任国家自然科学基金和地区科学基金通讯评审专家、美国电气与电子工程师协会会员、美国计算机学会会员。
(1) 具身人工智能机器学习方法与系统
(2) 服务科学的人工智能及计算机科学
(3) 机器人群智感知与控制方法与系统
(4) 集群跨域协同异构机器人系统
(5) 集群多源系统异构机器人系统
课题组依托机器人视觉感知与控制技术国家工程研究中心，欢迎对人工智能、机器人感知与控制等领域感兴趣，动手实践能力强，在人工智能/多模态信息处理/模式识别/控制工程/机械工程有科研或实践基础（取一即可），自动化、机械/电子工程、计算机、人工智能等相关专业的同学报考博士和硕士研究生。本课题组提供良好的实验环境设备、详细有针对性的科研指导、努力为学生考虑的研究支持、自由探索的科研氛围、海内外学术交流访问机会。表现优秀者可推荐至腾讯、Meta AI、阿里、华为、字节、海康、歌尔、英伟达、微软等知名企业研究或工程开发部门。欢迎对人工智能具浓厚兴趣的本科生加入课题组学习。名额有限，有意者请email联系：kcliu@hnu.edu.cn
[1]. Kangcheng Liu. RM3D: Robust Data-Efficient 3D Scene Parsing via Traditional and Learnt 3D Descriptors-based Semantic Region Merging. International Journal of Computer Vision (IJCV), 2022, Pages 1-30. （人工智能顶级期刊，CCF-A, 唯一作者）
[2]. Kangcheng Liu, et al. Generalized Robotic Vision-Language Learning Model via Linguistic Foreground-Aware Contrast. International Journal of Computer Vision (IJCV), 2025. （人工智能顶级期刊，CCF-A，第一作者、通讯作者）
[3]. Kangcheng Liu, et al. DLC-SLAM: A Robust LiDAR-SLAM System with Learning-based Denoising and Loop Closure. IEEE Transactions on Mechatronics (T-MECH), 2022.（自动化与人工智能顶级期刊，CAA-A，第一作者、通讯作者）
[4]. Kangcheng Liu, et al. FAC: 3D Representation Learning via Foreground Aware Feature Contrast. The IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 2023. (人工智能顶级会议，CCF-A，第一作者、通讯作者)
[5]. Kangcheng Liu, et al. FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Clouds Understanding. IEEE Transactions on Cybernetics (T-CYB), 2021.（自动化与人工智能顶级期刊，CAA-A，第一作者、通讯作者）
[6]. Kangcheng Liu, et al. D-LC-Nets: Robust Denoising and Loop Closing Networks for LiDAR-SLAM in Complicated Circumstances with Noisy Point Clouds. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 2022. (Oral).（自动化与人工智能顶级会议，CAA-A，第一作者、通讯作者）
[7]. Kangcheng Liu, Zhi Gao, Feng Lin, and Ben M. Chen. FG-Conv: Large-Scale LiDAR Point Clouds Understanding Leveraging Feature Correlation Mining and Geometric-Aware Modeling. IEEE International Conference on Robotics and Automation (ICRA), Xi’an, China, 2021. (Oral).（自动化与人工智能顶级会议，CAA-A，第一作者、通讯作者）
[8]. Kangcheng Liu, et al. WeakLabel3D-Net: A Complete Framework for Real-Scene LiDAR Point Clouds Weakly Supervised Multi-Tasks Understanding. IEEE International Conference on Robotics and Automation (ICRA), Philadelphia (PA), USA, 2022. (Oral).（自动化与人工智能顶级会议，CAA-A，第一作者、通讯作者）
[9]. Kangcheng Liu, Yuzhi Zhao, Qiang Nie, and Ben M. Chen. Weakly Supervised 3D Scene Parsing with Region-Level Boundary Awareness and Instance Discrimination. European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022. ECCV Springer Book Chapter.（自动化与人工智能顶级会议，CAA-A，第一作者、通讯作者）
[10]. Kangcheng Liu. Robust Industrial UAV/UGV-Based Unsupervised Domain Adaptive Crack Recognitions with Depth and Edge Awareness: From System and Database Constructions to Real-Site Inspections. ACM International Conference on Multimedia (ACM MM), Lisbon, Portugal, 2022. (Oral).（人工智能顶级会议，CCF-A，第一作者、通讯作者）
[11] Kangcheng Liu, Yanbin Qu, Hak-Man Kim, and Huihui Song. Avoiding frequency second dip in power unreserved control during wind power rotational speed recovery. IEEE Transactions on Power Systems (TPS), May 2018. (TPS highly cited paper in the topic of control for power systems). （自动化与人工智能顶级期刊，CAA-A，第一作者）
[12] Kangcheng Liu, A LiDAR-Inertial-Visual SLAM System with Loop Detection. Robotics: Science and Systems (RSS), Workshops, Held Virtually due to Covid, 2020. (Oral). （自动化与人工智能顶级会议报告，CAA-A，第一作者、通讯作者）
[13] Kangcheng Liu, Learning-Based Defect Recognitions for Autonomous UAV Inspections. Robotics: Science and Systems (RSS), Workshops, New York City, 2022. (Oral). (自动化与人工智能顶级会议报告，CAA-A，第一作者、通讯作者）
[14] Kangcheng Liu, An Enhanced LiDAR-Inertial SLAM System for Robotics Localization and Mapping. International Conference on Robotics and Automation (ICRA), Workshops, Montreal, Canada, 2019. (Oral). (自动化与人工智能顶级会议报告，CAA-A，第一作者、通讯作者）
[15] Kangcheng Liu, A Light-Weight LiDAR-Inertial SLAM System with Loop Closing. International Conference on Robotics and Automation (ICRA), Workshops, Held Virtually due to Covid, 2020. (Oral). (自动化与人工智能顶级会议报告，CAA-A，第一作者、通讯作者）
[16] Kangcheng Liu, Xiaodong Han, and Ben M. Chen. Deep Learning Based Automatic Crack Detection and Segmentation for Unmanned Aerial Vehicle Inspections. IEEE International Conference on Robotics and Biomimetics (ROBIO), 2019. (Oral). (自动化与人工智能顶级会议报告，CAA-A，第一作者、通讯作者）
[17] Kangcheng Liu, Semi-Supervised Confidence-Level-based Contrastive Discrimination for Class Imbalanced Semantic Segmentation. IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), 2022. (Oral). (自动化与人工智能旗舰会议，第一作者、通讯作者）
[18] Kangcheng Liu, A Robust and Efficient LiDAR-Inertial-Visual Fused Simultaneous Localization and Mapping System with Loop Closure. IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), 2022. (Oral). (自动化与人工智能旗舰会议，第一作者、通讯作者）
[19] Kangcheng Liu, and Ben M. Chen. An Integrated Visual System for Unmanned Aerial Vehicles Following Ground Vehicles: Simulations and Experiments. International Conference on Control and Automation (ICCA), Naples, Italy, 2022. (Oral). (自动化与人工智能旗舰会议，第一作者、通讯作者）
[20] Kangcheng Liu, and Ben M. Chen. An Enhanced LiDAR Inertial Localization and Mapping System for Unmanned Ground Vehicles. International Conference on Control and Automation (ICCA), Naples, Italy, 2022 (Oral). (自动化与人工智能旗舰会议，第一作者、通讯作者）
[21] Kangcheng Liu, A Light-Weight LiDAR-Inertial SLAM System with High Efficiency and Loop Closure Detection Capacity. IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2022 (Oral). (自动化与人工智能旗舰会议，第一作者、通讯作者）
(1) 《数学物理方程》： 本科生课程
English Course Name： 《Mathematical Physical Equation》
(2) 《工科线性代数》： 本科生课程
English Course Name：《Engineering Linear Algebra》
(3) 《工业高等机器学与人工智能》： 研究生课程
English Course Name：《Industrial Advanced Robotics and Artificial Intelligence》
(4) 《机器人图形学与三维视觉》： 研究生课程
English Course Name：《Robot Graphics and 3D Vision》
(5) 《人工智能与具身感知技术》： 研究生课程
English Course Name：《Artificial Intelligence and Embodied Perception Technology》等
