陈路 - 计算机与信息技术学院（大数据学院）

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，入选山西大学“文瀛青年学者”人才支持计划；担任中国计算机学会智能机器人专委会委员、中国自动化学会模式识别与机器智能专委会委员、中国计算机学会YOCSEF太原AC委员，Robot Learning期刊青年编委。

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1**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”项目等省部级项目2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、TNNLS、TASE和ICRA、IROS等期刊会议审稿人。

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、硕士研究生，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。同时欢迎优秀本科生加入课题组开展基础科研工作。

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，具备一定的代码能力。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。

[1] 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. 2025 International Conference on Robotics and Automation (ICRA), Atlanta, USA. (Accepted, 机器人顶会)

[2] 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. (TOP期刊)

[3] 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. (TOP期刊)

[4] L. Chen, Z. Li, Z. Zhao, Z. Lu*, H. Wang, C. Yang. Efficient Visual Manipulation Relationship Reasoning with Relationship Attention and Sparse Graph in Robotic Grasping. IEEE Transactions on Automation Science and Engineering, 2024. (Accepted, TOP期刊)

[5] H. Nie (本科生), Z. Zhao, L. Chen*, Z. Lu, Z. Li, 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. (TOP期刊)

[6] Y. Song, Y. Lu, L. Chen, Y. Luo*. Hierarchical Multi-scale Enhanced Transformer for Medical Image Segmentation. IEEE Journal of Biomedical and Health Informatics, 2024, DOI: 10.1109/JBHI.2024.3515477.(TOP期刊)

[7] Z. Zhao, D. Zheng, L. Chen*. Detecting Transitions from Stability to Instability in Robotic Grasping Based on Tactile Perception. Sensors, 2024, 24: 5080. (SCI 3区)

[8] 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

[9] H. Wang, L. Chen*, Z. Guan. Dual-Branch Low-Light Image Enhancement via Spatial and Multi-Scale Frequency Domain Fusion. IEEE International Conference on Industrial Technology (ICIT), Bristol, United Kingdom, 2024, pp. 1-7. (会议最佳论文提名)

[10] M. Niu, Z. Lu, L. Chen*, J. Yang, C. Yang. VERGNet: Visual Enhancement Guided Robotic Grasp Detection Under Low-Light Condition. IEEE Robotics and Automation Letters, 2023, 8(12): 8541-8548. (TOP期刊)

[11] 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. (TOP期刊)

[12] 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. (TOP期刊)

[13] 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. (TOP期刊)

[14] 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. (TOP期刊)

[15] 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. (SCI 2区)

[16] 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. (SCI 2区)

[17] 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. (TOP期刊)

[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)

[4] 国家级纵向课题, ***视觉增强(主持)

[5] 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)

[6] 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)

[7] 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)