A Bio-Inspired Tensegrity Manipulator with Multi-DOF, Structurally Compliant Joints
April 29, 2016 ยท Declared Dead ยท ๐ IEEE/RJS International Conference on Intelligent RObots and Systems
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Steven Lessard, Dennis Castro, William Asper, Shaurya Deep Chopra, Leya Breanna Baltaxe-Admony, Mircea Teodorescu, Vytas SunSpiral, Adrian Agogino
arXiv ID
1604.08667
Category
cs.RO: Robotics
Citations
81
Venue
IEEE/RJS International Conference on Intelligent RObots and Systems
Last Checked
1 month ago
Abstract
Most traditional robotic mechanisms feature inelastic joints that are unable to robustly handle large deformations and off-axis moments. As a result, the applied loads are transferred rigidly throughout the entire structure. The disadvantage of this approach is that the exerted leverage is magnified at each subsequent joint possibly damaging the mechanism. In this paper, we present two lightweight, elastic, bio-inspired tensegrity robotics arms which mitigate this danger while improving their mechanism's functionality. Our solutions feature modular tensegrity structures that function similarly to the human elbow and the human shoulder when connected. Like their biological counterparts, the proposed robotic joints are flexible and comply with unanticipated forces. Both proposed structures have multiple passive degrees of freedom and four active degrees of freedom (two from the shoulder and two from the elbow). The structural advantages demonstrated by the joints in these manipulators illustrate a solution to the fundamental issue of elegantly handling off-axis compliance.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Robotics
๐
๐
Old Age
R.I.P.
๐ป
Ghosted
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
R.I.P.
๐ป
Ghosted
VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator
R.I.P.
๐ป
Ghosted
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
R.I.P.
๐ป
Ghosted
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
R.I.P.
๐ป
Ghosted
Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Language Models are Few-Shot Learners
R.I.P.
๐ป
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
๐ป
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
๐ป
Ghosted