Pregled bibliografske jedinice broj: 1144875
A Riemannian metric for geometry-aware singularity avoidance by articulated robots
A Riemannian metric for geometry-aware singularity avoidance by articulated robots // Robotics and autonomous systems, 145 (2021), 103865, 12 doi:10.1016/j.robot.2021.103865 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1144875 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A Riemannian metric for geometry-aware singularity avoidance by articulated robots
Autori
Marić, Filip ; Petrović, Luka ; Guberina, Marko ; Kelly, Jonathan ; Petrović, Ivan
Izvornik
Robotics and autonomous systems (0921-8890) 145
(2021);
103865, 12
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Manipulation Manipulability ellipsoid Kinematics Differential geometry
Sažetak
Articulated robots such as manipulators increasingly must operate in uncertain and dynamic environments where interaction (with human coworkers, for example) is necessary. In these situations, the capacity to quickly adapt to unexpected changes in operational space constraints is essential. At certain points in a manipulator’s configuration space, termed singularities, the robot loses one or more degrees of freedom (DoF) and is unable to move in specific operational space directions. The inability to move in arbitrary directions in operational space compromises adaptivity and, potentially, safety. We introduce a geometry-aware singularity index, defined using a Riemannian metric on the manifold of symmetric positive definite matrices, to provide a measure of proximity to singular configurations. We demonstrate that our index avoids some of the failure modes and difficulties inherent to other common indices. Further, we show that our index can be differentiated easily, making it compatible with local optimization approaches used for operational space control. Our experimental results establish that, for reaching and path following tasks, optimization based on our index outperforms a common manipulability maximization technique and ensures singularity-robust motions.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
--KK.01.1.1.01.009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (DATACROSS) (Šmuc, Tomislav; Lončarić, Sven; Petrović, Ivan; Jokić, Andrej; Palunko, Ivana) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus