This letter proposes a novel force-based task-orientation controller for interaction tasks with environmental orientation uncertainties. The main aim of the controller is to align the robot tool along the main task direction (e.g., along screwing, insertion, polishing, etc.) without the use of any external sensors (e.g., vision systems), relying only on end-effector wrench measurements/estimations. We propose a gradient descent-based orientation controller, enhancing its performance with the orientation predictions provided by a Gaussian Process model. Derivation of the controller is presented, together with simulation results (considering a probing task) and experimental results involving various re-orientation scenarios, i.e., i) a task with the robot in interaction with a soft environment, ii) a task with the robot in interaction with a stiff and inclined environment, and iii) a task to enable the assembly of a gear into its shaft. The proposed controller is compared against a state-of-the-art approach, highlighting its ability to re-orient the robot tool even in complex tasks (where the state-of-the-art method fails).

Gradient Descent-Based Task-Orientation Robot Control Enhanced With Gaussian Process Predictions

Roveda L.;
2024-01-01

Abstract

This letter proposes a novel force-based task-orientation controller for interaction tasks with environmental orientation uncertainties. The main aim of the controller is to align the robot tool along the main task direction (e.g., along screwing, insertion, polishing, etc.) without the use of any external sensors (e.g., vision systems), relying only on end-effector wrench measurements/estimations. We propose a gradient descent-based orientation controller, enhancing its performance with the orientation predictions provided by a Gaussian Process model. Derivation of the controller is presented, together with simulation results (considering a probing task) and experimental results involving various re-orientation scenarios, i.e., i) a task with the robot in interaction with a soft environment, ii) a task with the robot in interaction with a stiff and inclined environment, and iii) a task to enable the assembly of a gear into its shaft. The proposed controller is compared against a state-of-the-art approach, highlighting its ability to re-orient the robot tool even in complex tasks (where the state-of-the-art method fails).
2024
Gaussian process
gradient descent-based control
impedance control
interaction control
Uncertain orientation control
File in questo prodotto:
File Dimensione Formato  
paper01.pdf

Accesso riservato

Dimensione 2.03 MB
Formato Adobe PDF
2.03 MB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1278430
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact