陈路

陈路

山西大学

👤 个人简介

陈路，山东省聊城人，副教授、博士生导师，太原卫星发射中心博士后，演化科学智能山西省重点实验室副主任，山西省科技创新领域青年拔尖人才，CCF高级会员，入选山西大学“文瀛青年学者”人才支持计划。主要围绕“复杂、动态场景下的机器人智能感知”开展研究工作，先后承担国家级重点项目课题、国防科技创新特区、国家自然科学基金（面上、青年）等国家级项目4项，山西省科技重大专项计划“揭榜挂帅”项目、山西省科技合作交流专项等省部级项目5项，企业委托项目多项；以第一或通讯作者在IEEE Transactions on Systems, Man, and Cybernetics: Systems、IEEE/ASME Transactions on Mechatronics、IEEE Transactions on Industrial Electronics、IEEE Robotics and Automation Letters和ICRA等高水平期刊、会议发表论文40余篇，授权专利10余项；长期担任TIE、TII、TSMCA、TEMCH、TNNLS、TASE和ICRA、IROS、AAAI等期刊会议审稿人。

💬 招生信息

  • 欢迎计算机（人工智能）、数学、自动化等专业背景同学报考课题组博士（每年1~2名）、硕士（每年4名）研究生，课题组科研氛围浓厚、软硬件支撑完备，将根据每位同学实际情况制定对应的培养方案，从理论研究和工程实践两方面不断提升个人能力。
  • 要求：学习态度端正，对机器人背景下的视觉、人工智能课题感兴趣，具备较强的代码能力。有意者请将个人简历及能够体现个人学术、能力水平的材料发送至邮箱。
  • 同时欢迎优秀本科生加入课题组开展基础科研、学科竞赛工作。

🛠️ 科学研究

主要研究方向：

  1. 面向机器人智能抓取的目标感知关键技术研究
  2. 弱光、低可视环境下的图像增强及理解关键技术研究

主要科研项目情况：

  1. 国家自然科学基金面上项目，面向动态光照条件的机器人抓取特征增强与优化机理研究，2024.01-2027.12（主持）
  2. 国家级纵向课题，***优化，2024.08-2027.08（主持）
  3. 山西省科技合作交流专项，基于视、触觉多模态感知的机器人智能抓取技术研发，2025.10-2028.10（主持）
  4. 山西省专利转化计划项目，一种机器人弱光环境抓取检测方法在工业流水线装配中的应用，2025.12-2026.12（主持）
  5. 山西省高等学校教学改革创新项目，“AI+机器人”驱动的计算机视觉理论与技术课程跨学科教学探索与实践，2025.09-2027.09（主持）
  6. 山西省科技重大专项计划揭榜挂帅项目，面向基础设施电磁大数据的智能感知决策关键技术研究与示范应用，2023.01-2025.12 （青年技术挂帅人）
  7. 国家级纵向课题 ，***视觉增强，2020.12-2022.12（主持）
  8. 国家自然科学基金青年项目，基于骨架型表示和域知识迁移的机器人杂乱环境抓取检测，2021.01-2023.12 （主持）
  9. 山西省高等学校科技创新项目，跨域、高动态场景下的机器人目标泛化抓取检测，2020.03-2022.03 （主持）
  10. 横向课题，钢制安全壳水膜覆盖率图像识别与分析系统开发及测试，2021.01-2021.12 （主持）

📝 学术论文

  • L. Chen, Z. Li, Z. Zhao, Z. Lu*, H. Wang and C. Yang. Efficient Visual Manipulation Relationship Reasoning with Relationship Attention and Sparse Graph in Robotic Grasping, IEEE Transactions on Automation Science and Engineering, 2026, 23: 5714-5731.
  • W. Xie, Z. Lu, J. Liu, J. Yang, L. Chen* and C. Yang. TacTip-based Dynamic Contact Force Estimation with Sequential Tactile Images and Its Applications to Robotic Force Tracking. International Conference on Robotics and Automation (ICRA), 2026. (Accepted)
  • L. Chen, C. Yang, Z. Wang, Y. Wang, X. Liang* and Y. Qian. Learning Invariant Grasping Features via Scene Prototypes and Structure Priors in Robotic Manipulation. IEEE Transactions on Automation Science and Engineering, 2026, 23: 3877-3888.
  • L. Chen, L. Dong, J. Liu, J. Yang* and Z. Zhao. SCDA: A Semi-supervised Adaptation Framework with Multi-modal Normalization for Cross-domain Grasp Detection. International Conference on Sensing, Measurement, Communication and Internet of Things Technologies (SMC-IoT), 2025, Accepted. (Best Paper Award)
  • L. Chen, J. Wen, Y. Gao, J. Yang, C. Zhang, S. An* and P. Wu. Edge-guided Semi-supervised 6D Pose Estimation with Cross-domain Alignment for Robotic Grasping. Expert Systems With Applications, 2026, 298: 129880.
  • J. Yang, J. Zhao, L. Chen*, H. Ning and Y. Li. SATRNet: Self-Attention-aided Deep Unfolding Tensor Representation Network for Robust Hyperspectral Anomaly Detection. Remote Sensing, 2025, 17(18): 3137.
  • L. Chen, Y. Zheng, P. Wu, J. Yang*, Y. Gao and J. Liu. NGANet: Neighborhood-aware Graph Aggregation Network for 6D Pose Estimation in Robotic Grasping. Robotica, 2025, 43(9): 3095–3111.
  • L. Chen, Z. Li, J. Yang, Z. Lu*, P. Wu and T. Chen. Grasp Representation and Detection with Consistent Path in Robotic Grasping. IEEE Transactions on Cognitive and Developmental Systems, 2025, doi: 10.1109/TCDS.2025.3596649.
  • J. Wen, D. Li, J. Yang, L. Chen*, Z. Zhao and J. Luo. L-GraK: Learning Long-term Grasping Knowledge with Feature Map Distillation in Robotic Grasping. IEEE International Conference on Advanced Robotics and Mechatronics (ARM), 2025, pp. 352-357.
  • Y. He, J. Gao, M. Geng, D. Zheng, Z. Zhao*, J. Luo and L. Chen. CLIP-Grasp: Multi-Modal Object Grasping Based on Language and Vision Integration. IEEE International Conference on Advanced Robotics and Mechatronics (ARM), 2025, pp. 82-87. (Best Paper Award Finalist)
  • J. Yang, J. Zhao, L. Chen*, H. Geng and P. Zhang. Learning Nonconvex Tensor Representation With Generalized Reweighted Sparse Regularization for Hyperspectral Anomaly Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18: 14718-14737.
  • J. Liu, Z. Lu, L. Chen*, J. Yang and C. Yang. Occlusion-aware 6D Pose Estimation with Depth-guided Graph Encoding and Cross-semantic Fusion for Robotic Grasping. International Conference on Robotics and Automation (ICRA), 2025, pp. 5011-5017. (Best Paper Award Finalist)
  • L. Chen, Z. Li, Z. Lu*, Y. Wang, H. Nie and C. Yang. Domain-Invariant Feature Learning via Margin and Structure Priors for Robotic Grasping. IEEE Robotics and Automation Letters, 2025, 10(2): 1313-1320.
  • Y. Song, Y. Lu, L. Chen and Y. Luo*. Hierarchical Multi-Scale Enhanced Transformer for Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics, 2025, 29(12): 8917-8927.
  • Z. Zhao, D. Zheng, L. Chen*. Detecting Transitions from Stability to Instability in Robotic Grasping Based on Tactile Perception. Sensors, 2024, 24: 5080.
  • Y. Song, M. Zhang, J. Chang, L. Chen*. Multi-Scale Co-Attention Reinforced U-Net for Medical Image Segmentation. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024, pp. 2422-2429.
  • L. Chen, M. Niu, J. Yang*, Y. Qian, Z. Li, K. Wang, T. Yan, P. Huang. Robotic Grasp Detection Using Structure Prior Attention and Multiscale Features. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, 54(11): 7039-7053.
  • J. Yang, T. Chen, L. Chen and J. Zhao. Towards A Clustering Guided Rule Interpolation for ANFIS Construction. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2024, pp. 1-6.
  • H. Nie, Z. Zhao, L. Chen*, Z. Lu, Z. Li and J. Yang. Smaller and Faster Robotic Grasp Detection Model via Knowledge Distillation and Unequal Feature Encoding. IEEE Robotics and Automation Letters, 2024, 9(8): 7206-7213.
  • Y. Gao, L. Chen* and J. Liu. VAEPose: 6D Pose Estimation with Visual Appearance Enhancement for Low-Light Conditions. IEEE International Conference on Industrial Technology (ICIT), 2024, pp. 1-7.
  • H. Wang, L. Chen*, Z. Guan. Dual-Branch Low-Light Image Enhancement via Spatial and Multi-Scale Frequency Domain Fusion. 2024 IEEE International Conference on Industrial Technology (ICIT), 2024, pp. 1-7. (Best Paper Award Finalist)
  • P. Wu, C. Han, T. Yan, L. Chen, T. Guo and Z. Li. SSF-EDZL Scheduling Algorithm on Heterogeneous Multiprocessors. 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2023, pp. 2052-2057.
  • P. Wu, Z. Li, Z. Zhang, T. Yan and L. Chen. Three Preemption Approaches towards EDF Scheduling for Homogeneous Multiprocessors. 2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS),2023, pp. 186-193.
  • J. Yang, C. Shang, L. Chen*, P. Su and Q. Shen. Sparse Training Data-Based Hyperspectral Image Super Resolution Via ANFIS Interpolation. 2023 IEEE International Conference on Fuzzy Systems (FUZZ), 2023, pp. 1-6.
  • M. Niu, Z. Lu, L. Chen*, J. Yang and C. Yang. VERGNet: Visual Enhancement Guided Robotic Grasp Detection Under Low-Light Condition. IEEE Robotics and Automation Letters, 2023, 8(12): 8541-8548.
  • Z. Lu#, L. Chen#, H. Dai#, et al. Visual-Tactile Robot Grasping Based on Human Skill Learning From Demonstrations Using a Wearable Parallel Hand Exoskeleton. IEEE Robotics and Automation Letters, 2023, 8(9): 5384-5391.
  • L. Chen*, M. Niu, S. Wang, P. Wu and Y. Li. A Robust Object Tracking and Visual Servo Method for Mobile Robot. 2022 IEEE International Conference on Real-time Computing and Robotics (RCAR),2022, pp. 151-156.
  • Y. Li, P. Huang*, Z. Ma and L. Chen. A Context-Free Method for Robust Grasp Detection: Learning to Overcome Contextual Bias. IEEE Transactions on Industrial Electronics, 2022, 69(12): 13121-13130.
  • L. Chen, P. Huang*, Y. Li and Z. Meng. Edge-dependent Efficient Grasp Rectangle Search in Robotic Grasp Detection. IEEE/ASME Transactions on Mechatronics, 2021, 26(6): 2922-2931.
  • L. Chen, P. Huang* and J. Cai. Extracting and Matching Lines of Low-textured Region in Close-range Navigation for Tethered Space Robot. IEEE Transactions on Industrial Electronics, 2019, 66(9): 7131-7140.
  • L. Chen, P. Huang* and Z. Meng. Convolutional Multi-Grasp Detection using Grasp Path for RGBD Images. Robotics and Autonomous Systems, 2019, 113: 94-103.
  • L. Chen, P. Huang* and Z. Zhao. Refining Object Proposals using Structured Edge and Superpixel Contrast in Robotic Grasping. Robotics and Autonomous Systems, 2018, 100: 194-205.
  • L. Chen, P. Huang*, J. Cai, Z. Meng and Z. Liu. A Non-cooperative Target Grasping Position Prediction Model for Tethered Space Robot. Aerospace Science and Technology, 2016, 58: 571-581.

💡 授权专利

  • 陈路，王怀瑶，杨静，闫涛，吴鹏，钱宇华. 一种基于小波域视觉增强的机器人低光抓取检测方法（ZL202510017396.9），授权日期：2025年11月13日；
  • 陈路, 牛洺第, 钱宇华, 闫涛. 一种适用于恶劣环境的物体六维位姿估计方法和系统（ZL202210962731.9），授权日期：2025年06月27日；
  • 陈路, 闫涛, 钱宇华, 吴鹏. 一种基于卡尔曼滤波与孪生网络的机器人目标跟踪方法（ZL202111189222.9）, 授权日期：2024年05月28日；
  • 陈路, 钱宇华, 吴鹏, 王克琪, 刘畅, 卢佳佳. 一种基于尺度不变网络的机器人目标抓取检测方法（ZL202010086282.7）, 授权日期：2022年11月11日；
  • 陈路, 钱宇华, 吴鹏, 王克琪. 一种基于多任务共享网络的机器人弱光环境抓取检测方法（ZL202110215147.2）, 授权日期：2022年05月31日；
  • 陈路. 一种多自由度成像角度可调节的目标图像自动采集装置（ZL202121406335.5），授权日期：2021年08月03日。

🏛️ 社会兼职

  • CCF智能机器人专委会委员，CAA模式识别与机器智能专委会委员，CAAI具身智能专委会委员；
  • CCF YOCSEF太原学术秘书，Robot Learning期刊青年编委；
  • 担任2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025第六届CCF中国智能机器人学术年会，2024 International Conference on Industrial Technology (ICIT)，2021 International Conference on Brain Informatics (BI)等会议分论坛主席。