Jiazhen Guo
Papers
1
Total Citations
15
H-Index
1
About
Jiazhen Guo is a researcher at the intersection of robotics, computer vision, and mixed reality, with a focus on enhancing robot perception through advanced sensing and deep learning. Their most-cited work, "Real-time Object Detection with Deep Learning for Robot Vision on Mixed Reality Device" (2021, 15 citations), demonstrates a pioneering integration of mixed reality hardware—such as IMU and TOF depth sensors—with the YOLO deep learning model to enable real-time object detection for autonomous navigation. This contribution bridges the gap between consumer mixed reality devices and robotic systems, offering a cost-effective, sensor-rich platform for environment understanding. Guo’s research has practical implications for improving robot autonomy in dynamic settings, leveraging accessible technology to advance vision-based decision-making. With growing citation impact, their work highlights a novel approach to repurposing mixed reality sensors for robotic applications, positioning them as an emerging voice in embodied AI and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1