Jack O'Connor

ORCID: 0000-0001-7346-0110
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About
Contact & Profiles
Research Areas
  • Soft Robotics and Applications
  • Robot Manipulation and Learning
  • Modular Robots and Swarm Intelligence
  • Advanced Sensor and Energy Harvesting Materials
  • Cellular Mechanics and Interactions
  • Building Energy and Comfort Optimization
  • Architecture and Computational Design
  • Phonetics and Phonology Research
  • Impact of Light on Environment and Health

Commonwealth Scientific and Industrial Research Organisation
2021-2022

The University of Queensland
2021-2022

Data61
2021

Soft gripping provides the potential for high performance in challenging tasks through morphological computing; however, design explorations are limited by a combination of difficulty generating useful models and use laborious fabrication techniques. We focus on class grippers based granular jamming that particularly difficult to model introduce "one shot" technique exploits multimaterial three-dimensional (3D) printing create entire grippers, including membrane grains, single print run....

10.1089/soro.2020.0154 article EN Soft Robotics 2021-06-10

The application of granular jamming in soft robotics is a recent and promising new technology offer exciting possibilities for creating higher performance robotic devices. Granular achieved via the vacuum pressure inside membrane containing particulate matter, particularly interesting from design perspective, as myriad parameters can potentially be exploited to induce diverse variety useful behaviours. To date, effect variables such grain shape size, well material, have been studied means...

10.1109/robosoft54090.2022.9762197 preprint EN 2022-04-04

The application of granular jamming in soft robotics is a recent and promising new technology offer exciting possibilities for creating higher performance robotic devices. Granular achieved via the vacuum pressure inside membrane containing particulate matter, particularly interesting from design perspective, as myriad parameters can potentially be exploited to induce diverse variety useful behaviours. To date, effect variables such grain shape size, well material, have been studied means...

10.48550/arxiv.2111.01952 preprint EN other-oa arXiv (Cornell University) 2021-01-01

Granular jamming is a popular soft actuation mechanism that provides high stiffness variability with minimum volume variation. Jamming particularly interesting from design perspective, as myriad of parameters can potentially be exploited to induce diverse variety useful behaviours. To date, grain shape has been largely ignored. Here, we focus on the use 3D printing expose variables related and size. Grains are represented by parameterised superquadrics (superellipsoids); four shapes...

10.48550/arxiv.2104.04171 preprint EN other-oa arXiv (Cornell University) 2021-01-01
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