个人简介： 王韶晨，硕士生导师。2024年6月毕业于中国科学技术大学，获得工学博士学位。主要研究领域包括：机器学习、计算机视觉、机器人学习、深度学习等方面。在研究领域的重要期刊和会议上发表论文20余篇，主持省级项目1项；作为主要参与人，参研国家自然科学项目面上项目1项；国家重点研发计划1项。 学术经历： 2018/09-2024/06，中国科学技术大学，控制科学与工程（硕博连读） 2012/09-2016/06，合肥工业大学，计算机科学与技术（本科） 招生 有意向从事上述研究领域工作的同学，请通过电子邮件将相关申请材料发送至邮箱Email：samwang@jxnu.edu.cn. 研究成果 S. Wang, R. Yang, B. Li, and Z. Kan*, "Structural Parameter Space Exploration for Reinforcement Learning via a Matrix Variate Distribution," IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 7, No. 4, pp. 1025-1035 (2023) S. Wang, Z. Zhou, and Z. Kan*, "When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp Detection," IEEE Robotics and Automation Letters, Vol. 7, No. 3, pp. 8170-8177 (2022) - Oral Presentation at IROS 2022 S. Wang, Z. Zhou, B. Li, Z. Li, and Z. Kan*, "Multi-modal Interaction with Transformers: Bridging Robots and Human with Natural Language," Robotica, Vol. 42, No. 2, pp. 415-434 (2024) Z. Chen, Z. Zhou, S. Wang, J. Li, and Z. Kan*, "Fast Temporal Logic Mission Planning of Multiple Robots: A Planning Decision Tree Approach," IEEE Robotics and Automation Letters, Vol. 9, No. 7, pp. 6146-6153 (2024) Z. Zhou, S. Wang, Z. Chen, M. Cai, and Z. Kan*, "A Novel Framework for Improved Grasping of Thin and Stacked Objects," IEEE Transactions on Artificial Intelligence, Vol. 5, No. 6, pp. 3134-3145 (2024) Z. Zhou, S. Wang, Z. Chen, M. Cai, H. Wang, Z. Li, and Z. Kan*, ""Local Observation Based Reactive Temporal Logic Planning of Human-Robot Systems," IEEE Transactions on Automation Science and Engineering, Vol. 22, pp. 643-655 (2025) C. Zhang, S. Lin, H. Wang, Z. Chen, S. Wang, and Z. Kan*, "Data-Driven Safe Policy Optimization for Black-Box Dynamical Systems with Temporal Logic Specifications," IEEE Transactions on Neural Networks and Learning Systems, Vol. 36. No.2, pp. 3870-3877 (2025) S. Wang, Z. Zhou, W. Zhang, J. Cao, Z. Chen, K. Chen, and Z. Kan, "What You See is What You Grasp: User-Friendly Grasping Guided by Near-eye-tracking," IEEE International Conference on Development and Learning, 2023, Macau, China, pp. 194-199. J. Li, S. Wang, Z. Chen, Z. Kan, and J. Yu, "Lightweight Neural Path Planning," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023, Detroit, USA, pp. 6713-6718. X. Han, S. Wang, X. Huang, and Z. Kan, "PoseFusion: Multi-Scale Keypoint Correspondence for Monocular Camera-to-Robot Pose Estimation in Robotic Manipulation," IEEE International Conference on Robotics and Automation (ICRA), 2024, Yokohama, Japan, pp. 795-801. Y. Hao, S. Wang, and Z. Kan, "2D Hand Pose Estimation from A Single RGB Image through Flow Model," IEEE International Conference on Advanced Robotics and Mechatronics, 2024, Tokyo, Japan, pp. 675-680. K. Chen, S. Wang, B. Xia, D. Li, Z. Kan, B. Li, "TODE-Trans: Transparent Object Depth Estimation with Transformer," IEEE International Conference on Robotics and Automation (ICRA), 2023, London, UK, pp. 4880-4886. S. Wang, Z. Zhou, H. Wang, Z. Li, and Z. Kan, "Unsupervised Representation Learning for Visual Robotics Grasping," IEEE International Conference on Advanced Robotics and Mechatronics, 2022, Guilin, China, pp. 57-62.
研究生招生： 长期招收硕士研究生。欢迎满足以下条件的同学加入课题组： 1. 较强的编程能力，熟练使用Python和有深度学习实践经验者优先（因为我们的研究主要围绕深度学习并通过使用python来进行实验）； 2. 追求进步、严格自律、勤奋乐观（老师希望培养出优秀的学生，所以学生自己得追求进步；老师不喜欢严管学生，所以学生自己要严格自律；科学研究要想成功必须要有一定的时间积累，且科研的过程中失败是常态，所以要求勤奋乐观）。
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