Jin Zhang

Papers

Total Citations

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About

Jin Zhang is a leading researcher at the intersection of computer vision, robotics, and autonomous systems, with a core focus on 6D pose estimation and human–machine fusion interaction. His most impactful work, "Real-Time and Efficient 6-D Pose Estimation From a Single RGB Image" (2021, 40 citations), pioneers deep neural network approaches for directly predicting 2D projections from monocular images—critical for advancing robotics, autonomous driving, and augmented reality. Zhang’s innovative contributions extend to multi-modal autonomous systems, as demonstrated in his 2024 study on "Multi-Modal Autonomous Ultrasound Scanning for Efficient Human–Machine Fusion Interaction" (10 citations), where he integrates visual and tactile data to enable robots to make spatially informed decisions during medical imaging. Additionally, his development of "rWiFiSLAM: Effective WiFi Ranging Based SLAM System in Ambient Environments" (2024, 6 citations) addresses the pressing challenge of indoor localization for mobile robots in GPS-denied settings. With a growing citation record, Zhang’s work is shaping the future of real-time perception and autonomous interaction, earning recognition for its practical applications in healthcare, navigation, and intelligent robotics. His research continues to inspire students and engineers seeking to bridge vision, sensing, and autonomous decision-making.