Jeremy Maitin-Shepard
Papers
1
Total Citations
429
H-Index
1
About
Jeremy Maitin-Shepard is a leading researcher in robotics and computer vision, best known for his pioneering work in robotic manipulation of deformable objects. His most influential contribution, the 2010 paper "Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding," has garnered over 429 citations and remains a foundational reference in the field. In this work, Maitin-Shepard introduced a novel vision-based algorithm that reliably detects cloth corners using only geometric cues—such as depth and shape—rather than relying on texture, making it robust across diverse fabric types. This breakthrough enabled a general-purpose robot to autonomously fold a towel, a task that had previously been challenging due to the complex, non-rigid nature of cloth. By demonstrating that geometric reasoning alone could solve a practical manipulation problem, Maitin-Shepard opened new avenues for research into robotic handling of textiles, laundry, and other deformable materials. His work has had lasting impact on both academic robotics and industrial applications, inspiring subsequent studies in grasp planning and perception for soft objects.
Research Focus
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Top Papers
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