Lin Ma

Tencent (China), Henan University of Science and Technology

Papers

Total Citations

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About

Lin Ma is a leading researcher in intelligent robotics and autonomous systems, with a primary focus on robotic manipulation, sensor fusion, and deep learning for industrial automation. Their groundbreaking work on "Grasp for Stacking via Deep Reinforcement Learning" (2020, 31 citations) introduced a novel integrated framework that unifies both grasping and placement actions—a critical advancement over traditional methods that only address grasping, thereby expanding robotic utility in complex industrial environments. More recently, Ma has advanced environmental perception through "Object Detection and Information Perception by Fusing YOLO-SCG and Point Cloud Clustering" (2024, 6 citations), which overcomes the limitations of single-sensor systems by combining visual and 3D data for robust obstacle detection and path planning. This fusion approach significantly enhances a robot’s ability to understand and navigate dynamic surroundings. Ma’s contributions are pivotal for developing more capable, autonomous robots that can operate safely and efficiently in real-world settings, bridging the gap between perception and action. Their work continues to influence both academic research and practical applications in intelligent manufacturing and service robotics.