Tuesday, May 30, 2023 4pm
About this Event
Flexible and biologically-inspired robots provide unique benefits such as adaptability, safety in human-robot interactions, and simplicity in body mechanics. Despite these advantages, their adoption has been slower than traditional, rigid robots due to complexities in their design, fabrication, and modeling. Unlike the automated processes available for rigid robots, creating flexible robots is often slow, tedious, and difficult to standardize. Current options for modeling or simulating flexible robots are either data-intensive or require a simple, rod-shaped robotic body and are generally slower compared to simulators for rigid-bodied robots. This presentation proposes a paradigm shift in the design and modeling of flexible robots to foster widespread access and adoption. Leveraging additive manufacturing and Degree of Freedom Classification, we present a novel approach for creating and modeling flexible robots. We demonstrate its effectiveness on a modular robotic locomotor and a 3D-printed robotic digit, which can be extended to a full manipulator.
Event Host: Maryam Tebyani, Ph.D. Student, Computer Engineering
Advisor: Mircea Teodorescu
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Zoom - https://ucsc.zoom.us/j/93316831987?pwd=Z0M4eGtzUnB3NTJmVlNKY0kwRkpQQT09
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