Mr. Haochen Wang , Shandong University , China.
Mr. Wang Haochen 🎓, is a Ph.D. candidate in Computer Science and Technology at Shandong University 🏫. With a strong foundation in Artificial Intelligence 🤖, he has led and contributed to numerous cutting-edge projects in reinforcement learning, robotic vision, and intelligent control systems 🤝. His research has been applied to real-world systems such as badminton robots 🏸, fascia removal machines 🥩, and defect detection in manufacturing 🏭. Wang has published multiple academic papers 📄 and co-authored a national patent 📑. Passionate about AI-driven innovation, he is proficient in Python, C++, PyTorch, and reinforcement learning frameworks 💻.
Professional Profile
Education & Experience
📘 Education
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🎓 2018.09–2022.06: B.Sc. in Artificial Intelligence, Shandong University
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🎓 2022.09–Present: Direct Ph.D. in Computer Science & Technology, Shandong University
🔧 Project Experience
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🏸 ICRA 2025: Physical Knowledge-Aided Reinforcement Learning for Badminton Robots
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🦾 2024: Transformer-based Sequential Decision Models for Robotic Grasping
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🥩 2022–2023: 3D Vision & Path Planning for Fascia Removal Robot
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🧠 2022: Defect Detection with Attention Mechanisms (ICCPS 2023)
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🎥 2020: Multifunctional Dance & Social App “Qingying” – National Competition Winner
🧑💼 Internship
Summary Suitability
Mr. Wang Haochen, a direct Ph.D. candidate in Computer Science and Technology at Shandong University, is a highly qualified nominee for the 🏆 Best Researcher Award. His research trajectory showcases exceptional dedication to integrating cutting-edge artificial intelligence with real-world robotic systems, demonstrating both academic excellence and practical impact. His interdisciplinary contributions span reinforcement learning, computer vision, robotics, and healthcare AI—making him a strong contender for this prestigious recognition.
Professional Development
Mr. Wang Haochen has developed professionally through diverse hands-on experiences in academia and industry 🔬. From building AI-driven decision-making systems 🤖 to deploying real-world robotics solutions 🦿, he has cultivated a deep understanding of reinforcement learning, computer vision, and human-robot interaction 🤝. His work spans both innovative research and applied technology, demonstrated by successful collaboration with companies and high-impact publications 📚. He is fluent in major programming languages 💻 and adept in PyTorch, TensorFlow, and multiple RL toolkits ⚙️. His capability to bridge theory and practice makes him a promising researcher and developer in intelligent systems 🌐.
Research Focus
Mr. Wang Haochen’s research focuses on reinforcement learning (RL) 🔁, robotics 🤖, and AI-driven automation ⚙️. He explores the intersection of physical modeling and machine learning to enhance decision-making in real-world environments 🌍. His contributions include hybrid learning systems, offline RL with physics-based priors, and Transformer-based policies for robot control 🧠. With projects ranging from robotic grasping 🤲 to intelligent defect detection 🏭, his work aims to make robotic systems smarter, more adaptive, and deployable in practical settings. His integration of AI algorithms with physical systems bridges the gap between simulation and deployment 🚀.
Awards & Honors
🏆 14th National College Software Innovation Competition
📄 Academic Recognition
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📘 First Author – ICRA 2025 & ICCPS 2025
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📗 Fourth Author – Information Fusion Publication
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📝 National Invention Patent – Second Author
Publication Top Notes
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Title: Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot Control
Authors: Wang Haochen, et al.
Conference: IEEE International Conference on Robotics and Automation (ICRA), 2025
Status: Accepted (In Press)
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Title: Autonomous and Cost-effective Defect Detection System for Molded Pulp Products
Authors: Wang Haochen, et al.
Conference: ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), 2025
DOI: [To be updated if available]
Status: Published
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Title: MV-BMR: Motion and Vision Sensing Integration Based Agile Badminton Robot
Authors: [First three authors], Wang Haochen
Journal: Information Fusion
Status: Published
DOI: [To be provided]
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Title: The association of pain phenotype and providing caregiving with depressive symptom trajectory for older adults: a longitudinal analysis using the health and retirement study
Authors: [Not provided]
Journal/Conference: [Not specified]
Note: This appears unrelated to robotics/AI. If Wang Haochen is an author, clarify authorship and publication source.
Conclusion
Mr. Wang Haochen’s innovative work across academic research, real-world robotics deployment, and industrial application makes him a compelling recipient of the Best Researcher Award. His ability to transform complex AI algorithms into deployable systems has resulted in impactful contributions to sports robotics, intelligent manufacturing, and healthcare analytics. With a blend of deep technical skills, research leadership, and cross-sector collaboration, he stands out as a rising star in intelligent systems. He not only meets the criteria for this honor—but redefines them.