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About

Xiliang Tong is a leading researcher in intelligent robotics, with a focus on trajectory optimization, inverse kinematics, and autonomous manipulation. Their work bridges the gap between digital twin technology and physical robotic systems, most notably through a genetic algorithm-based method for mobile robot trajectory optimization, which has garnered 156 citations. Tong has also advanced robotic arm control with an improved particle swarm algorithm for inverse kinematic solutions (78 citations), enabling more precise and efficient path planning. In the domain of grasping, they developed a novel approach combining target shape analysis and force closure for humanoid manipulators (75 citations), addressing the challenges of unstructured environments. Their research extends to simultaneous localization and mapping (SLAM) with RGBD sensors and object detection for target localization (35 citations), as well as multi-scale feature fusion for substation inspection robots (12 citations). Tong’s contributions are pivotal for industrial automation, smart manufacturing, and autonomous inspection systems, demonstrating a consistent impact on both theoretical foundations and practical applications in robotics.