Narrow-Path, Dynamic Walking Using Integrated Posture Manipulation and Thrust Vectoring

Fuente: arXiv
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Main Authors: Krishnamurthy, Kaushik Venkatesh, Wang, Chenghao, Pitroda, Shreyansh, Salagame, Adarsh, Sihite, Eric, Nemovi, Reza, Ramezani, Alireza, Gharib, Morteza
Format: Preprint
Published: 2024
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author Krishnamurthy, Kaushik Venkatesh
Wang, Chenghao
Pitroda, Shreyansh
Salagame, Adarsh
Sihite, Eric
Nemovi, Reza
Ramezani, Alireza
Gharib, Morteza
author_facet Krishnamurthy, Kaushik Venkatesh
Wang, Chenghao
Pitroda, Shreyansh
Salagame, Adarsh
Sihite, Eric
Nemovi, Reza
Ramezani, Alireza
Gharib, Morteza
contents This research concentrates on enhancing the navigational capabilities of Northeastern Universitys Husky, a multi-modal quadrupedal robot, that can integrate posture manipulation and thrust vectoring, to traverse through narrow pathways such as walking over pipes and slacklining. The Husky is outfitted with thrusters designed to stabilize its body during dynamic walking over these narrow paths. The project involves modeling the robot using the HROM (Husky Reduced Order Model) and developing an optimal control framework. This framework is based on polynomial approximation of the HROM and a collocation approach to derive optimal thruster commands necessary for achieving dynamic walking on narrow paths. The effectiveness of the modeling and control design approach is validated through simulations conducted using Matlab.
format Preprint
id arxiv_https___arxiv_org_abs_2405_06070
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Narrow-Path, Dynamic Walking Using Integrated Posture Manipulation and Thrust Vectoring
Krishnamurthy, Kaushik Venkatesh
Wang, Chenghao
Pitroda, Shreyansh
Salagame, Adarsh
Sihite, Eric
Nemovi, Reza
Ramezani, Alireza
Gharib, Morteza
Robotics
Systems and Control
This research concentrates on enhancing the navigational capabilities of Northeastern Universitys Husky, a multi-modal quadrupedal robot, that can integrate posture manipulation and thrust vectoring, to traverse through narrow pathways such as walking over pipes and slacklining. The Husky is outfitted with thrusters designed to stabilize its body during dynamic walking over these narrow paths. The project involves modeling the robot using the HROM (Husky Reduced Order Model) and developing an optimal control framework. This framework is based on polynomial approximation of the HROM and a collocation approach to derive optimal thruster commands necessary for achieving dynamic walking on narrow paths. The effectiveness of the modeling and control design approach is validated through simulations conducted using Matlab.
title Narrow-Path, Dynamic Walking Using Integrated Posture Manipulation and Thrust Vectoring
topic Robotics
Systems and Control
url https://arxiv.org/abs/2405.06070