Conjugate momentum based thruster force estimate in dynamic multimodal robot
Shreyansh Pitroda, Eric Sihite, Taoran Liu, Kaushik Venkatesh, Krishnamurthy, Chenghao Wang, Adarsh Salagame, Reza Nemovi, Alireza Ramezani,, and Morteza Gharib

TL;DR
This paper introduces a conjugate momentum-based estimator for thruster force in a multimodal robot, enhancing force estimation accuracy during dynamic locomotion by incorporating terrain information and working conditions.
Contribution
It presents a novel momentum-based thruster force estimator tailored for a bipedal robot with thrusters, accounting for real-world conditions like battery voltage and terrain.
Findings
Estimator performs well in simulations with terrain knowledge.
Including terrain information improves force estimation accuracy.
The method is validated in a numerical simulator for thruster-assisted walking.
Abstract
In a multi-modal system which combines thruster and legged locomotion such our state-of-the-art Harpy platform to perform dynamic locomotion. Therefore, it is very important to have a proper estimate of Thruster force. Harpy is a bipedal robot capable of legged-aerial locomotion using its legs and thrusters attached to its main frame. we can characterize thruster force using a thrust stand but it generally does not account for working conditions such as battery voltage. In this study, we present a momentum-based thruster force estimator. One of the key information required to estimate is terrain information. we show estimation results with and without terrain knowledge. In this work, we derive a conjugate momentum thruster force estimator and implement it on a numerical simulator that uses thruster force to perform thruster-assisted walking.
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Taxonomy
TopicsControl and Dynamics of Mobile Robots · Robotic Path Planning Algorithms · Adaptive Control of Nonlinear Systems
