Pretrained Visual Representations in Reinforcement Learning

Autor: Williams, Emlyn, Polydoros, Athanasios

Visual reinforcement learning (RL) has made significant progress in recent years, but the choice of visual feature extractor remains a crucial design decision. This paper compares the performance of RL algorithms that train a convolutional neural net

Externí odkaz: http://arxiv.org/abs/2407.17238

Learning Movement Assessment Primitives for Force Interaction Skills

Autor: Zhang, Xiang, Polydoros, Athanasios S., Piater, Justus

We present a novel, reusable and task-agnostic primitive for assessing the outcome of a force-interaction robotic skill, useful e.g.\ for applications such as quality control in industrial manufacturing. The proposed method is easily programmed by ki

Externí odkaz: http://arxiv.org/abs/1805.04354

Online Learning of Industrial Manipulators' Dynamics Models

Autor: Polydoros, Athanasios

Publikováno v: Polydoros, A 2017, Online Learning of Industrial Manipulators' Dynamics Models . Ph.d.-serien for Det Ingeniør-og Naturvidenskabelige Fakultet, Aalborg Universitet .

The robotics industry has introduced light-weight compliant manipulators to increase the safety during human-robot interaction. This characteristic is achieved by replacing the stiff actuators of the traditional robots with compliant ones which creat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::16699ab38a8ff90a3d5a02e708b5c41b
https://vbn.aau.dk/da/publications/cdade308-701e-4e73-865a-5d3eec4e4af2

Accurate and versatile automation of industrial kitting operations with SkiROS

Autor: Polydoros, Athanasios S., Großmann, Bjarne, Rovida, Francesco, Nalpantidis, Lazaros, Krüger, Volker

Publikováno v: Polydoros, A S, Großmann, B, Rovida, F, Nalpantidis, L & Krüger, V 2016, Accurate and versatile automation of industrial kitting operations with SkiROS . in L Alboul, D Damian & J M Aitken (eds), Towards Autonomous Robotic Systems : 17th Annual Conference, TAROS 2016, Sheffield, UK, June 26--July 1, 2016, Proceedings . Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9716, pp. 255-268, 17th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2016, Sheffield, United Kingdom, 26/06/2016 . https://doi.org/10.1007/978-3-319-40379-3_26

The low automation level of industrial manufacturing processes, in conjunction with the limited research in the field of object manipulation for placing tasks, rise the need for adaptive and accurate industrial robotic systems that can manipulate a v

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::603b01e3a3807227fdb185346694c39c
https://vbn.aau.dk/da/publications/e2d10b76-af4d-46c6-8e0e-4a109700593d

A reservoir computing approach for learning forward dynamics of industrial manipulators.

Autor: Polydoros, Athanasios S., Nalpantidis, Lazaros

Publikováno v: 2016 IEEE/RSJ International Conference on Intelligent Robots & Systems (IROS); 2016, p612-618, 7p