Papers
3
Total Citations
29
H-Index
2
About
Huawei Jin is a leading researcher in intelligent robotics and autonomous systems, with a primary focus on motion planning and obstacle avoidance for underwater and mining robots. His most influential work, "An Effective Obstacle Avoidance and Motion Planning Design for Underwater Telescopic Arm Robots Based on a Tent Chaotic Dung Beetle Algorithm" (2023), has garnered 22 citations and introduces a novel hybrid algorithm that significantly reduces collision interference and path planning time in complex underwater environments. Jin further advances the field with his 2025 study on "Underwater Manipulator Trajectory Planning Based on Improved Particle Swarm Optimization Algorithm," which integrates sine-cosine strategies to enhance robotic arm precision. Beyond underwater robotics, his research on "Intelligent Scheduling Strategy of Electric Locomotive Robots for Underground Mining" (2021) addresses automation challenges in coal mines, proposing a scheduling model that improves efficiency in complex geological settings. With a growing citation impact, Jin’s work bridges theoretical optimization algorithms and practical robotic applications, offering scalable solutions for hazardous environments. His contributions are particularly notable for their interdisciplinary approach, combining bio-inspired computation with real-world engineering constraints, making him a key figure in advancing autonomous robotic operations in challenging domains.
Research Focus
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