杨硕，博士，山东大学人工智能学院副教授。研究方向包括机器人感知决策、机器人抓取/灵巧操作、具身智能、机器人学习等。近年来在IEEE T-SMC、IEEE T-MECH、IEEE T-ASE、RA-L、CoRL、ICRA、IROS等机器人领域权威期刊和顶级会议发表论文10余篇，授权中国、美国等发明专利10余项。核心机器人技术在商超物流、家庭服务、智慧农业、工业焊接等多个领域落地应用，与华为、腾讯、美团、宇树等公司深度合作。主持国家自然科学基金青年项目、中国博士后科学基金面上项目、山东省自然科学基金青年项目等，曾获山东省技术发明二等奖、ACM济南分会优秀博士论文奖、IEEE实时计算与机器人国际会议（RCAR）最佳论文提名奖、IEEE机电一体化与自动化国际会议（ICMA）最佳论文提名奖、深圳国际智能机器人灵巧手大赛三等奖等荣誉奖励。曾担任IEEE机器人学与自动化国际大会（ICRA 2021）分会场主席、IEEE机电一体化与自动化国际会议（ICMA）程序委员会委员。担任中国指挥与控制学会具身智能专委会委员、山东省人工智能学会理事。

招收2026级硕士研究生，欢迎对机器人、具身智能感兴趣的同学联系（也欢迎高年级本科生进组参与研究）。

Publications

• Shuo Yang, Shuai Song, Ran Song, Jiyu Cheng, Yibin Li, Wei Zhang. “Learning packing-and-unpacking synergistic policy via LLM-guided DRL for robust online robotic packing”, Advanced Engineering Informatics, 2025.

• Gaolin Zhao, Shuo Yang, Jinqiu Fan, Ran Song, Qi Jiang, Lei Han, Wei Zhang. “ShapeAfford: Reconstructing 3D Shape With Manipulation Affordance via Geometry-Affordance Synergy”, IEEE Robotics and Automation Letters, 2025.

• Chenchen Zheng, Jiangtao Luo, Shuo Yang, Jinqiu Fan, Xiaolei Li and Wei Zhang. “TeleCo: Enabling Whole-Body Teleoperation for High-Precision Data Collection”, IEEE International Conference on Real-time Computing and Robotics (RCAR), 2025.

• Shuo Cheng, Yue Lu, Shuo Yang, Pengkun Wei, Jinqiu Fan and Wei Zhang. “Efficient Multiple Seams Detection via CAD-Guided Image Segmentation for Robotic Welding”, IEEE International Conference on Real-time Computing and Robotics (RCAR), 2025.

• Dayou Li, Chenkun Zhao, Shuo Yang, Ran Song, Xiaolei Li, Wei Zhang, “MPGNet: Learning Move-Push-Grasping Synergy for Target-Oriented Grasping in Occluded Scenes”. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024.

• Dayou Li, Chenkun Zhao, Shuo Yang, Lin Ma, Yibin Li, Wei Zhang, “Learning Instruction-Guided Manipulation Affordance via Large Models for Embodied Robotic Tasks”. International Conference on Advanced Robotics and Mechatronics (ICARM), 2024.

• Shuo Yang, Dayou Li, Chenkun Zhao, Pengkun Wei, Yibin Li, Wei Zhang, “Multi-class 4-DoF Carton Box Detection for Heterogeneous Robotic Container Unloading”. IEEE International Conference on Real-time Computing and Robotics (RCAR), 2023.

• Dayou Li, Pengkun Wei, Chenkun Zhao, Shuo Yang, Yibin Li, Wei Zhang, “A Mobile Manipulation System for Automated Replenishment in the Field of Unmanned Retail”. IEEE International Conference on Mechatronics and Automation (ICMA), 2023.

• Shuo Yang, Wei Zhang, Ran Song, Jiyu Cheng, Hesheng Wang, Yibin Li, “Watch and Act: Learning Robotic Manipulation from Visual Demonstration”. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023.

• Shuo Yang, Shuai Song, Shilei Chu, Ran Song, Jiyu Cheng, Yibin Li, Wei Zhang, “Heuristics Integrated Deep Reinforcement Learning for Online 3D Bin Packing”. IEEE Transactions on Automation Science and Engineering, 2023.

• Shuo Yang, Wei Zhang, Ran Song, Weizhi Lu, Hesheng Wang, Yibin Li, “Explicit-to-Implicit Robot Imitation Learning by Exploring Visual Content Change”. IEEE/ASME Transactions on Mechatronics, 2022.

• Shuai Song, Shuo Yang, Ran Song, Shilei Chu, Yibin Li, Wei Zhang, “Towards Online 3D Bin Packing: Learning Synergies between Packing and Unpacking via DRL”. Conference on Robot Learning (CoRL), 2022.

• Shuo Yang, Wei Zhang, Ran Song, Jiyu Cheng, Yibin Li, “Learning Multi-Object Dense Descriptor for Autonomous Goal-Conditioned Grasping”. IEEE Robotics and Automation Letters, 2021.

• Zifei Yang, Shuo Yang, Shuai Song, Wei Zhang, Ran Song, Jiyu Cheng, Yibin Li, “PackerBot: Variable-Sized Product Packing with Heuristic Deep Reinforcement Learning”. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.

• Shuo Yang, Wei Zhang, Weizhi Lu, Hesheng Wang, Yibin Li, “Cross-context Visual Imitation Learning from Demonstrations”. IEEE International Conference on Robotics and Automation (ICRA), 2020.

• Shuo Yang, Wei Zhang, Weizhi Lu, Hesheng Wang, Yibin Li, “Learning Actions from Human Demonstration Video for Robotic Manipulation”. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.

• 2018.09 -- 2023.06
  山东大学 , 模式识别与智能系统  , 博士 , With Certificate of Graduation for Doctorate Study
• 2014.09 -- 2017.06
  吉林大学 , Control Engineering  , 硕士 , With Certificate of Graduation for Study as Master's Candidates
• 2010.09 -- 2014.06
  吉林大学 , 通信工程  , Bachelor , University graduated