Mingda Sun
Papers
1
Total Citations
4
H-Index
1
About
Mingda Sun is a robotics researcher whose work centers on autonomous navigation and manipulation in unstructured environments, with a particular focus on construction and industrial settings. Sun’s most-cited paper, “Vision-Based Obstacle Removal System for Autonomous Ground Vehicles Using a Robotic Arm” (2019, 4 citations), addresses a critical challenge for unmanned ground vehicles (UGVs) operating in cluttered spaces like construction sites. The study integrates computer vision with a robotic arm, enabling a mobile platform to autonomously detect and physically remove obstacles—a practical solution that bridges perception and action. This work exemplifies Sun’s broader contributions to field robotics, where they develop systems that combine visual sensing with real-time manipulation to enhance UGV autonomy in complex, real-world environments. While still early in their career, Sun’s research has been recognized for its direct applicability to automating hazardous or labor-intensive tasks, offering a pathway toward safer and more efficient construction operations. Their approach—merging mobile robotics with adaptive manipulation—positions them as an emerging voice in autonomous systems for dynamic, human-built spaces.
Research Focus
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Top Papers
- 1