Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Aleš Ude"'
Autor:
Kristina Savevska, Aleš Ude
Publikováno v:
Applied Sciences, Vol 14, Iss 1, p 39 (2023)
In this paper, we present a study on transferring human motions to a humanoid robot for stable and precise task execution. We employ a whole-body motion imitation system that considers the stability of the robot to generate a stable reproduction of t
Externí odkaz:
https://doaj.org/article/72564edcf1754e3ca715de65151168af
Autor:
Miha Deniša, Aleš Ude, Mihael Simonič, Tero Kaarlela, Tomi Pitkäaho, Sakari Pieskä, Janis Arents, Janis Judvaitis, Kaspars Ozols, Levente Raj, András Czmerk, Morteza Dianatfar, Jyrki Latokartano, Patrick Alexander Schmidt, Anton Mauersberger, Adrian Singer, Halldor Arnarson, Beibei Shu, Dimosthenis Dimosthenopoulos, Panagiotis Karagiannis, Teemu-Pekka Ahonen, Veikko Valjus, Minna Lanz
Publikováno v:
Machines, Vol 11, Iss 9, p 877 (2023)
In this paper, we address the most pressing challenges faced by the manufacturing sector, particularly the manufacturing of small and medium-sized enterprises (SMEs), where the transition towards high-mix low-volume production and the availability of
Externí odkaz:
https://doaj.org/article/ea772e2bc1ad4cfdb82f5c35a629ac22
Publikováno v:
Sensors, Vol 22, Iss 20, p 7962 (2022)
Robot assembly tasks can fail due to unpredictable errors and can only continue with the manual intervention of a human operator. Recently, we proposed an exception strategy learning framework based on statistical learning and context determination,
Externí odkaz:
https://doaj.org/article/17338b8af136482ca04637765dd09290
Publikováno v:
Applied Sciences, Vol 11, Iss 3, p 1013 (2021)
Autonomous robot learning in unstructured environments often faces the problem that the dimensionality of the search space is too large for practical applications. Dimensionality reduction techniques have been developed to address this problem and de
Externí odkaz:
https://doaj.org/article/132835f331c442fa945beed94fe5185e
Publikováno v:
Frontiers in Computational Neuroscience, Vol 11 (2017)
While movement is essential to human wellbeing, we are still unable to reproduce the deftness and robustness of human movement in automatons or completely restore function to individuals with many types of motor impairment. To better understand how t
Externí odkaz:
https://doaj.org/article/821715db96d84228a63b63362a43c3bd
Publikováno v:
PLoS ONE, Vol 11, Iss 2, p e0148942 (2016)
In this paper we propose an exoskeleton control method for adaptive learning of assistive joint torque profiles in periodic tasks. We use human muscle activity as feedback to adapt the assistive joint torque behaviour in a way that the muscle activit
Externí odkaz:
https://doaj.org/article/51e979a1551f47a8918a2b67b81da015
Autor:
Miha Deniša, Aleš Ude
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 12 (2015)
This paper presents a novel approach to discovering motor primitives in a hierarchical database of example trajectories. An initial set of example trajectories is obtained by human demonstration. The trajectories are clustered and organized in a bina
Externí odkaz:
https://doaj.org/article/e63cdbe229514ffab1dd68c471680956
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 12 (2015)
Continuous learning of object affordances in a cognitive robot is a challenging problem, the solution to which arguably requires a developmental approach. In this paper, we describe scenarios where robotic systems interact with household objects by p
Externí odkaz:
https://doaj.org/article/9381e727f82040638fdc7aa8cec17af7
Publikováno v:
Sensors, Vol 16, Iss 5, p 700 (2016)
Giving unmanned aerial vehicles (UAVs) the possibility to manipulate objects vastly extends the range of possible applications. This applies to rotary wing UAVs in particular, where their capability of hovering enables a suitable position for in-flig
Externí odkaz:
https://doaj.org/article/3d1cecd8f788491c9aa030b5183c3670
Publikováno v:
Current Robotics Reports. 3:97-109
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5737e66ecf55559a68168b39b76c976
https://doi.org/10.1007/s43154-022-00082-9
https://doi.org/10.1007/s43154-022-00082-9