Shiguo Ma

Shandong Institute of Automation, Chinese Academy of Sciences, Fuzhou University

Papers

Total Citations

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About

Shiguo Ma is a robotics researcher whose work focuses on intelligent control systems for robotic manipulation and autonomous operations. His key research areas include force control for robotic grippers, trajectory planning for industrial manipulators, and vision-based control for mobile robots. Ma’s most cited work, "Parallel force control for a robot gripper based on grey prediction models" (2012, 6 citations), introduces a novel approach using grey prediction models to anticipate contact forces, enabling robots to handle deformable objects with greater precision—a critical advancement for manufacturing and logistics. In "Optimized trajectory planning algorithm for industrial robot" (2012, 4 citations), he presents an efficient algorithm that normalizes velocity and time to optimize motion paths under real-world constraints, improving robot performance in production lines. His paper "Firefighting robot with video full-closed loop control" (2016, 3 citations) addresses challenges in flame detection and environmental adaptability by integrating video feedback for robust fire suppression. Though his citation counts are modest, Ma’s contributions demonstrate a practical, systems-level approach to robotics, bridging control theory with real-world applications. His work on grey prediction models offers a unique tool for force-sensitive tasks, while his firefighting robot design highlights his commitment to solving high-stakes, operational problems.