Papers
1
Total Citations
18
H-Index
1
About
Daniel Furby is a rising innovator in the field of soft robotics, with a focused expertise in granular jamming and membrane morphology. His most cited work, "Getting a Grip: in Materio Evolution of Membrane Morphology for Soft Robotic Jamming Grippers" (2022, 18 citations), represents a pivotal contribution to the development of adaptive, high-performance robotic grippers. In this study, Furby explores how the physical shape and structure of a membrane—filled with particulate matter and activated by vacuum pressure—can be evolved *in materio* to optimize gripping performance. This approach moves beyond traditional design, using the material itself as a computational and morphological substrate. By demonstrating how membrane geometry directly influences jamming efficacy, Furby’s research opens new pathways for creating more versatile and resilient soft robots. Though early in his career, his work has already garnered attention for its novel integration of evolutionary principles with material science. For students and researchers, Furby’s research exemplifies how rethinking fundamental material behaviors can lead to breakthroughs in robotic adaptability and real-world manipulation tasks.
Research Focus
Key Achievements
Top Papers
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