Papers
16
Total Citations
842
H-Index
9
About
Daolin Ma is a robotics researcher whose work spans robotic manipulation, tactile sensing, and soft robotics — areas at the forefront of enabling robots to interact intelligently with unstructured real-world environments. He is perhaps best known for his landmark research on robotic pick-and-place systems capable of grasping and recognizing novel objects in clutter without task-specific training data, a contribution that has garnered over 700 citations across multiple publication venues and established him as a significant voice in generalizable robot manipulation. His work on multi-affordance grasping and cross-domain image matching has been particularly influential in bridging perception and physical manipulation for diverse object categories. Beyond manipulation planning, Ma has made meaningful contributions to tactile sensing, including extrinsic contact localization using distributed tactile measurements, incipient slip detection, and dense 3D contact force field reconstruction through vision-based sensors. His research on friction modeling — examining anisotropic friction in planar pushing and 6-D limit surface frictional contacts — reflects a rigorous grounding in manipulation mechanics. More recently, Ma has expanded into soft robotics, developing topology-optimized compliant actuators and bionic grippers with adaptive feedback control. Collectively, his research portfolio demonstrates a rare breadth that connects theoretical modeling, sensor development, and practical robotic system design.
Research Focus
Key Achievements
Top Papers
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- 8Maintaining Grasps within Slipping Bound by Monitoring Incipient Slip11 citations · 2018
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