Skip to Main content Skip to Navigation
Theses

Algorithms for estimation and control of quadrirotors in physical interaction with their environment

Quentin Delamare 1, 2
2 RAINBOW - Sensor-based and interactive robotics
Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : In recent years, the field of aerial robotics has been improved, allowing the UAVs to apply a controlled wrench on their environment or on an object while flying.Inspired by the use of contacts in legged robots, in this Thesis, we propose the idea of exploiting physical contact with the environment for the purpose of ‘locomotion’ during flight, with the goal of going beyond the common thought that the surrounding environment is a constraint to avoid. These ideas are studied and demonstrated in simulations and experiments on a novel aerial platform consisting of a quadrotor with a 1-dof arm that realizes maneuvers by leveraging contacts with pivot points. Additionally, we also study the problem of generating trajectories that are most insensitive to variations in the model parameters.This problem has a general validity for any robot, and it is particularly relevant for UAVs because of the high uncertainty in their inertial parameters and actuation. In order to address these issues, we define and leverage the novel notion of "closed-loop state sensitivity" for generating trajectories that are minimally-sensitive to parameters with high robustness guarantees.
Document type :
Theses
Complete list of metadatas

Cited literature [73 references]  Display  Hide  Download

https://tel.archives-ouvertes.fr/tel-02895102
Contributor : Abes Star :  Contact
Submitted on : Thursday, July 9, 2020 - 2:41:10 PM
Last modification on : Wednesday, September 9, 2020 - 4:16:38 AM

File

DELAMARE_Quentin.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-02895102, version 1

Citation

Quentin Delamare. Algorithms for estimation and control of quadrirotors in physical interaction with their environment. Robotics [cs.RO]. Université Rennes 1, 2019. English. ⟨NNT : 2019REN1S099⟩. ⟨tel-02895102⟩

Share

Metrics

Record views

35

Files downloads

25