https://github.com/ami-iit/paper_ramadoss-2022-iros-humanoid-base-estimation

[IROS 2022] EKF Comparison - Humanoid Base Estimators; IEEE Xplore: https://ieeexplore.ieee.org/document/9982275

https://github.com/ami-iit/paper_ramadoss-2022-iros-humanoid-base-estimation

Science Score: 23.0%

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[IROS 2022] EKF Comparison - Humanoid Base Estimators; IEEE Xplore: https://ieeexplore.ieee.org/document/9982275

Basic Info
  • Host: GitHub
  • Owner: ami-iit
  • License: bsd-3-clause
  • Language: MATLAB
  • Default Branch: main
  • Homepage:
  • Size: 4.34 MB
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Created over 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme License

README.md

Comparison of EKF-Based Floating Base Estimators for Humanoid Robots with Flat Feet

P. Ramadoss, S. Traversaro and D. Pucci "Comparison of EKF-Based Floating Base Estimators for Humanoid Robots with Flat Feet" in IEEE 2022 International Conference on Intelligent Robots and Systems

https://user-images.githubusercontent.com/6506093/196138116-7da131c4-055d-49b3-b8f8-3f4ef8099050.mp4

2022 International Conference on Intelligent Robots and Systems
Installation and Usage | Paper

Installation and Usage

Please refer to the documentation in docs/usage.md.

Citing this work

If you find the work useful, please cite our publication:

@INPROCEEDINGS{9982275, author={Ramadoss, Prashanth and Romualdi, Giulio and Dafarra, Stefano and Traversaro, Silvio and Pucci, Daniele}, booktitle={2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)}, title={Comparison of EKF-Based Floating Base Estimators for Humanoid Robots with Flat Feet}, year={2022}, volume={}, number={}, pages={6780-6787}, doi={10.1109/IROS47612.2022.9982275}}

Acknowledgements

  • We would like to acknowledge the author of the repository https://github.com/NewGuy012/spider_plot which has been used to construct the error metrics comparison charts.

Maintainer

This repository is maintained by:

| | | |:---:|:---:| | | Prashanth Ramadoss |

Owner

  • Name: Artificial and Mechanical Intelligence
  • Login: ami-iit
  • Kind: organization
  • Location: Italy

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