Papers
2
Total Citations
33
H-Index
2
About
Zhenchuan Sun is a researcher at the forefront of intelligent logistics and robotic manipulation. His work bridges artificial intelligence, edge computing, and advanced actuator technologies to create more autonomous and efficient systems. Sun’s most cited paper, “EventTube: An Artificial Intelligent Edge Computing Based Event Aware System to Collaborate With Individual Devices in Logistics Systems” (2022, 19 citations), introduces a novel framework that leverages AI and edge computing to enhance real-time coordination among logistics robots, addressing critical challenges in warehouse automation. His second highly cited work, “Kinematic design of a serial-parallel hybrid finger mechanism actuated by twisted-and-coiled polymer” (2020, 14 citations), demonstrates his expertise in soft robotics by designing a hybrid finger mechanism that combines serial and parallel kinematics with innovative polymer actuators. This contribution has implications for developing more dexterous and adaptable robotic grippers. With a growing citation record, Sun’s research is shaping the future of logistics and robotics, offering practical solutions for integrating AI-driven edge intelligence with mechanical design. His work is particularly relevant for students and researchers interested in the intersection of artificial intelligence, robotics, and supply chain innovation.
Research Focus
Key Achievements
Top Papers
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