Modeling and Analysis of Non-unique Behaviors in Multiple Frictional Impacts
February 04, 2019 ยท Declared Dead ยท ๐ Robotics: Science and Systems
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Mathew Halm, Michael Posa
arXiv ID
1902.01462
Category
cs.RO: Robotics
Citations
19
Venue
Robotics: Science and Systems
Last Checked
3 months ago
Abstract
Many fundamental challenges in robotics, based in manipulation or locomotion, require making and breaking contact with the environment. To represent the complexity of frictional contact events, impulsive impact models are especially popular, as they often lead to mathematically and computationally tractable approaches. However, when two or more impacts occur simultaneously, the precise sequencing of impact forces is generally unknown, leading to the potential for multiple possible outcomes. This simultaneity is far from pathological, and occurs in many common robotics applications. In this work, we propose an approach for resolving simultaneous frictional impacts, represented as a differential inclusion. Solutions to our model, an extension to multiple contacts of Routh's method, naturally capture the set of potential post-impact velocities.We prove that solutions to the presented model must terminate. This is, to the best of our knowledge, the first such guarantee for set-valued outcomes to simultaneous frictional impacts.
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