Junling Wang
Papers
2
Total Citations
20
H-Index
2
About
Dr. Junling Wang is a leading researcher in the field of robotic manipulation, with a primary focus on multi-objective trajectory planning and optimization. Their work addresses a critical challenge in modern robotics: how to simultaneously optimize competing performance metrics such as travel time, energy consumption, and motion smoothness. Dr. Wang’s major contributions include the development of novel multi-objective trajectory planning methods for robot manipulators, most notably through the application of the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm. Their 2024 paper on this topic has already garnered 10 citations, demonstrating its immediate impact on the field. In 2025, Dr. Wang advanced this work further by integrating real-time parameter monitoring into the planning process, a significant step toward adaptive and intelligent robotic control. This research has direct implications for space exploration, where efficient and smooth robotic motion is critical for mission success. With a growing citation record and a focus on practical, real-world applications, Dr. Junling Wang is establishing themselves as an important voice in the future of autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2