Hansol Song
Papers
3
Total Citations
142
H-Index
3
About
Hansol Song is a leading roboticist whose work centers on the design of novel grippers, high-speed manipulation systems, and gravity compensation mechanisms for collaborative robots. His most impactful contribution is the **BLT Gripper** (71 citations), an adaptive gripper that uniquely achieves both precise pinch and compliant grasp with active transition between these modes—a long-standing challenge in dexterous manipulation. Song also developed the **LIMS2-AMBIDEX** (57 citations), a low-inertia, high-stiffness dual-arm manipulator designed for high-speed folding and assembly tasks, which earned recognition at the IROS2018 Robotic Challenge. His work on a **3-DOF gravity compensation mechanism** (14 citations) for robot waists enables natural, agile motion by dynamically offsetting center-of-mass shifts. With a focus on bridging the gap between precision and compliance, Song’s designs have advanced practical applications in manufacturing and service robotics. His research is distinguished by its emphasis on mechanical innovation that directly enhances robot versatility and speed, making him a key figure in the development of next-generation, human-safe robotic systems.
Research Focus
Key Achievements
Top Papers
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