Yunyue Zhang

Taiyuan University of Science and Technology, Taiyuan Institute of Technology

Papers

Total Citations

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About

Yunyue Zhang is a leading researcher in the field of construction robotics, with a primary focus on the autonomous operation and trajectory planning of hydraulic excavators. His work addresses the critical challenges of efficiency, energy consumption, and precision in heavy machinery, bridging the gap between theoretical optimization and real-world application. Zhang’s most impactful contribution is his pioneering work on time-jerk optimal trajectory planning, which introduced Sequential Quadratic Programming (SQP) to overcome the limitations of traditional intelligent algorithms like Particle Swarm Optimization (PSO) and Differential Evolution (DE). This paper has garnered 48 citations, establishing a foundational approach for smoother, more efficient excavator motion. He has further advanced the field by developing time-energy consumption optimal path-constrained planning, which directly tackles the operational costs of large equipment, and by pioneering a reinforcement learning-based method (using the TD3 algorithm) for online trajectory planning during trimming operations. Through these contributions, Zhang is at the forefront of creating smarter, more autonomous construction equipment, with his work cited over 50 times and continuing to shape the future of robotic excavation.