Chi Xing

Papers

Total Citations

126

H-Index

About

Chi Xing is a pioneering researcher at the intersection of intelligent manufacturing and robotic systems, whose work bridges deep reinforcement learning and novel mechanical design. His most impactful contribution, "Intelligent scheduling of discrete automated production line via deep reinforcement learning" (2020, 106 citations), revolutionized production line adaptability by addressing the critical gap of ignoring layout constraints and transfer units like robots—a breakthrough that moves beyond traditional deterministic scheduling. In parallel, Xing has advanced amphibious robotics through the "Design and Modelling of an Amphibious Spherical Robot Attached with Assistant Fins" (2021, 16 citations), creating a versatile platform capable of seamless terrestrial-aquatic transitions for environmental monitoring and surveillance. His foundational work on "Linear Motion Control of an Underactuated Spherical Mobile Robot" (2014) tackled the inherent challenges of nonholonomic systems, establishing control principles for spherical robots. With a cumulative impact spanning automation, robotics, and control theory, Xing’s research demonstrates a rare ability to solve practical industrial problems while pushing the boundaries of mobile robot design—making him a key figure for students exploring the future of intelligent, adaptive automation.