Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1266586

A Distance-Geometric Method for Recovering Robot Joint Angles From an RGB Image


Bilić, Ivan; Marić, Filip; Marković, Ivan; Petrović, Ivan
A Distance-Geometric Method for Recovering Robot Joint Angles From an RGB Image // IFAC World Congress
Yokohama, Japan, 2023. str. 1-6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1266586 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
A Distance-Geometric Method for Recovering Robot Joint Angles From an RGB Image

Autori
Bilić, Ivan ; Marić, Filip ; Marković, Ivan ; Petrović, Ivan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
IFAC World Congress / - , 2023, 1-6

Skup
IFAC World Congress

Mjesto i datum
Yokohama, Japan, 09.07.2023. - 14.07.2023

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Manipulation ; Mechatronic Systems ; Robotics ; Joint angle estimation

Sažetak
Autonomous manipulation systems operating in domains where human intervention is difficult or impossible (e.g., underwater, extraterrestrial or hazardous environments) require a high degree of robustness to sensing and communication failures. Crucially, motion planning and control algorithms require a stream of accurate joint angle data provided by joint encoders, the failure of which may result in an unrecoverable loss of functionality. In this paper, we present a novel method for retrieving the joint angles of a robot manipulator using only a single RGB image of its current configuration, opening up an avenue for recovering system functionality when conventional proprioceptive sensing is unavailable. Our approach, based on a distance-geometric representation of the configuration space, exploits the knowledge of a robot’s kinematic model with the goal of training a shallow neural network that performs a 2D-to-3D regression of distances associated with detected structural keypoints. It is shown that the resulting Euclidean distance matrix uniquely corresponds to the observed configuration, where joint angles can be recovered via multidimensional scaling and a simple inverse kinematics procedure. We evaluate the performance of our approach on real RGB images of a Franka Emika Panda manipulator, showing that the proposed method is efficient and exhibits solid generalization ability. Furthermore, we show that our method can be easily combined with a dense refinement technique to obtain superior results

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti



POVEZANOST RADA


Profili:

Avatar Url Filip Marić (autor)

Avatar Url Ivan Bilić (autor)

Avatar Url Ivan Petrović (autor)

Avatar Url Ivan Marković (autor)


Citiraj ovu publikaciju:

Bilić, Ivan; Marić, Filip; Marković, Ivan; Petrović, Ivan
A Distance-Geometric Method for Recovering Robot Joint Angles From an RGB Image // IFAC World Congress
Yokohama, Japan, 2023. str. 1-6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Bilić, I., Marić, F., Marković, I. & Petrović, I. (2023) A Distance-Geometric Method for Recovering Robot Joint Angles From an RGB Image. U: IFAC World Congress.
@article{article, author = {Bili\'{c}, Ivan and Mari\'{c}, Filip and Markovi\'{c}, Ivan and Petrovi\'{c}, Ivan}, year = {2023}, pages = {1-6}, keywords = {Manipulation, Mechatronic Systems, Robotics, Joint angle estimation}, title = {A Distance-Geometric Method for Recovering Robot Joint Angles From an RGB Image}, keyword = {Manipulation, Mechatronic Systems, Robotics, Joint angle estimation}, publisherplace = {Yokohama, Japan} }
@article{article, author = {Bili\'{c}, Ivan and Mari\'{c}, Filip and Markovi\'{c}, Ivan and Petrovi\'{c}, Ivan}, year = {2023}, pages = {1-6}, keywords = {Manipulation, Mechatronic Systems, Robotics, Joint angle estimation}, title = {A Distance-Geometric Method for Recovering Robot Joint Angles From an RGB Image}, keyword = {Manipulation, Mechatronic Systems, Robotics, Joint angle estimation}, publisherplace = {Yokohama, Japan} }




Contrast
Increase Font
Decrease Font
Dyslexic Font