Mao-Cheng Hsu
Papers
8
Total Citations
265
H-Index
6
About
Mao-Cheng Hsu is a leading researcher in soft robotics and compliant mechanism design, specializing in the development of adaptive, sensor-less grippers for handling fragile and unknown objects. His major contributions center on the optimal design of underactuated, two-finger compliant grippers and constant-force mechanisms using topology and geometry optimization methods. Hsu’s most cited work, "Optimal Design of a Soft Robotic Gripper for Grasping Unknown Objects" (2018), has garnered 117 citations, showcasing its impact on robotic grasping. He pioneered the use of 3D printing with thermoplastic elastomers to prototype monolithic compliant fingers that deform elastically, enabling gentle, adaptive grasping of size-varied items like fruits and vulnerable objects. His research on compliant constant-force mechanisms (52 citations) provides passive force regulation for precision tasks. Notable achievements include integrating flex sensors for sensory feedback and developing a mobile robot for semiconductor material handling. Hsu’s work bridges optimization theory and practical robotics, offering elegant, low-cost solutions for industrial and agricultural automation. His designs emphasize simplicity, reliability, and ease of fabrication, making them highly accessible for further research and real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Optimal Design of a Soft Robotic Gripper for Grasping Unknown Objects117 citations · 2018
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- 8Development of a mobile robot for visually guided handling of material5 citations · 2004