Digitalni repozitorij raziskovalnih organizacij Slovenije

Iskanje po repozitoriju
A+ | A- | Pomoč | SLO | ENG

Iskalni niz: išči po
išči po
išči po
išči po

Možnosti:
  Ponastavi


Iskalni niz: "avtor" (Simonič Mihael) .

1 - 3 / 3
Na začetekNa prejšnjo stran1Na naslednjo stranNa konec
1.
Adaptive robotic levering for recycling tasks
Boris Kuster, Mihael Simonič, Aleš Ude, 2023, objavljeni znanstveni prispevek na konferenci

Objavljeno v DiRROS: 25.09.2023; Ogledov: 317; Prenosov: 44
.pdf Celotno besedilo (7,55 MB)
Gradivo ima več datotek! Več...

2.
Hierarchical learning of robotic contact policies
Mihael Simonič, Aleš Ude, Bojan Nemec, 2023, izvirni znanstveni članek

Povzetek: The paper addresses the issue of learning tasks where a robot maintains permanent contact with the environment. We propose a new methodology based on a hierarchical learning scheme coupled with task representation through directed graphs. These graphs are constituted of nodes and branches that correspond to the states and robotic actions, respectively. The upper level of the hierarchy essentially operates as a decision-making algorithm. It leverages reinforcement learning (RL) techniques to facilitate optimal decision-making. The actions are generated by a constraint-space following (CSF) controller that autonomously identifies feasible directions for motion. The controller generates robot motion by adjusting its stiffness in the direction defined by the Frenet–Serret frame, which is aligned with the robot path. The proposed framework was experimentally verified through a series of challenging robotic tasks such as maze learning, door opening, learning to shift the manual car gear, and learning car license plate light assembly by disassembly.
Ključne besede: autonomous robot learning, learning, experience, compliance and impedance contro
Objavljeno v DiRROS: 21.09.2023; Ogledov: 357; Prenosov: 175
.pdf Celotno besedilo (1,73 MB)
Gradivo ima več datotek! Več...

3.
Enhancing the performance of adaptive iterative learning control with reinforcement learning
Bojan Nemec, Mihael Simonič, Nejc Likar, Aleš Ude, 2017, objavljeni znanstveni prispevek na konferenci

Objavljeno v DiRROS: 19.03.2018; Ogledov: 2923; Prenosov: 1171
.pdf Celotno besedilo (775,54 KB)

Iskanje izvedeno v 0.09 sek.
Na vrh