Our lab’s work was featured in a post on Technically Philly. Thanks to Sarah Huffman for visiting the lab and putting together the article!
Congrats to Shivangi, Mason, and Rongqian on their ICRA paper!
Abstract: We propose a novel design for a lightweight and compact tunable stiffness actuator capable of stiffness changes up to 20x. The design is based on the concept of a coiled spring, where changes in the number of layers in the spring change the bulk stiffness in a near-linear fashion. We present an elastica nested rings model for the deformation of the proposed actuator and empirically verify that the designed stiffness-changing spring abides by this model. Using the resulting model, we design a physical prototype of the tunable-stiffness coiled spring actuator and discuss the effect of design choices on the resulting achievable stiffness range and resolution. In the future, this actuator design could be useful in a wide variety of soft robotics applications, where fast, controllable, and local stiffness change is required over a large range of stiffnesses.
ICRA workshop on origami-based structures for designing soft robots with new capabilities
We are also excited to announce a workshop on Origami-based Structures for Designing Soft Robots with New Capabilities, which will be held on Monday, May 29.
More info at: https://www.origabot.cnrs.fr/workshop-icra-2023/
Check out our newest paper published in IEEE T-RO, where we provide an algorithm for automatically converting a DH specification for an arbitrary serial linkage into an origami design.
Full paper at: https://doi.org/10.1109/TRO.2022.3206711
Cynthia Sung received a 2023 ONR Young Investigator Award to work on “Salp-Inspired Reconfigurable Robot Platform for Long-Term Distributed Sensing.” We are so excited to work on this project with program manager Dr. Tom McKenna!
Wei-Hsi Chen successfully defended his thesis on
“Creating dynamical robots of different morphologies and sizes through automatic origami design”
Abstract: Origami robots are machines whose morphologies and functions are created by folding locally flat sheets. This thesis makes three contributions to the design and fabrication of origami robots aimed at the development of an automated computational pipeline for the specification and construction of widely different morphologies and body sizes capable of highly dynamic operation. The initial contribution recruits recent advances in the design of compliant folded structures to build the first soft robots that exhibit highly dynamic behavior. Specifically, the proof-of-concept robots reported here achieve their juggling and hopping behaviors by actuating their origami springs as power-cascading devices. Second, this thesis advances the origami design literature by automating the construction of compliant origami kinematic chains. The “Kinegami” algorithm reported here accepts a Denavit-Hartenberg kinematic specification and uses a catalog of tunably compliant origami modules to generate a crease pattern that folds into the prescribed serial robot mechanism. Finally, the thesis addresses the problem of scalability in general (not just origami) robot design by studying the simultaneous interaction of structural integrity and actuator affordance. Four contrasting abstract task domains impose different scaling criteria that reveal the relative advantages and disadvantages of three distinct structural principles combined with three different actuator types. For example, applying the unloaded dynamic task criterion to a direct drive actuation type reveals that the origami-style shell structure supports superior length scale-up. An accompanying empirical study confirms that structural alternatives cannot achieve a one-degree-of-freedom hopping task at the same five-fold scale-up of the original hopper design exhibited by the shell structure design. Considered in isolation, these contributions advance, respectively, the recent soft robotics literature, the older origami design literature, and the traditional engineering scaling literature. Considered together, they advance the agenda for the rapid, computer-assisted design of customized, high-performance robots.