Gaochen Min

University of Science and Technology Beijing

Papers

Total Citations

H-Index

About

Gaochen Min is a robotics researcher whose work bridges the critical gap between autonomous systems and human-robot collaboration. His primary research areas include field robotics, soft robotics, and human-robot interaction, with a focus on developing intelligent systems for unstructured environments. Min’s most impactful contribution is his work on slope monitoring systems, where he pioneered the integration of computer vision-based techniques and path planning strategies for unmanned aerial vehicles (UAVs) in mining operations. This research, which has garnered 15 citations, demonstrates how specially designed UAVs can perceive and navigate challenging environments like mines and radiation zones. In soft robotics, Min advanced the field by developing a dynamic model for soft arms using Cosserat theory, moving beyond traditional kinematic approaches to capture the complex behavior of flexible robotic systems. His work on human-robot collaboration addresses the challenges of co-carrying tasks, combining visual and force sensing to enable safer, more intuitive cooperation between humans and robots in shared workspaces. Through these contributions, Min is helping to shape the future of robotics in both industrial and collaborative settings.