| Autor: |
Jun-Young Lee, Brian Byunghyun Kang, Dae-Young Lee, Sang-Min Baek, Woong-Bae Kim, Woo-Young Choi, Jeong-Ryul Song, Hyeong-Joon Joo, Daegeun Park, Kyu-Jin Cho |
| Jazyk: |
angličtina |
| Rok vydání: |
2016 |
| Předmět: |
|
| Zdroj: |
Frontiers in Robotics and AI, Vol 3 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
2296-9144 |
| DOI: |
10.3389/frobt.2016.00063 |
| Popis: |
This paper introduces SNUMAX, the grand winner of the RoboSoft Grand Challenge. SNUMAX was built to complete all the tasks of the challenge. Completing these tasks required robotic compliant components that could adapt to variable situations and environments and generate enough stiffness to maintain performance. SNUMAX has three key components: transformable origami wheels, a polymer-based variable stiffness manipulator, and an adaptive caging gripper. This paper describes the design of these components and how they worked together to allow the robot to perform the contest’s navigation and manipulation tasks. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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