Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Maxim Vochten"'
Publikováno v:
PLoS ONE, Vol 17, Iss 10, p e0275218 (2022)
The instantaneous (ISA) and average (ASA) screw axes are techniques commonly adopted in motion analysis to functionally locate the rotation axis and center of rotation of a joint. Several approaches for calculating such axes were proposed in literatu
Externí odkaz:
https://doaj.org/article/d7dd80a4f9e6410c996e5353f97e5f82
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Learning from Demonstration (LfD) requires methodologies able to generalize tasks in new situations. This paper studies the use of virtual demonstrations to extend the extrapolation capabilities of probabilistic motion models such as the traPPCA meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1091800ac1ffcf5662ed398b564bd576
https://lirias.kuleuven.be/handle/20.500.12942/700442
https://lirias.kuleuven.be/handle/20.500.12942/700442
Publikováno v:
Human-Friendly Robotics 2021 ISBN: 9783030963583
This paper introduces a constraint-based specification of an object handover in order to simplify the implementation of reactive handover controllers. A number of desired robot behaviors are identified in different phases of the handover and specifie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87a270d25a57dd52a01c6384c7736e58
https://lirias.kuleuven.be/handle/123456789/682111
https://lirias.kuleuven.be/handle/123456789/682111
Publikováno v:
Sensors
Volume 20
Issue 1
Sensors (Basel, Switzerland)
Volume 20
Issue 1
Sensors (Basel, Switzerland)
The motion of a rigid body can be represented by the instantaneous screw axis (ISA, also known as the helical axis). Recently, an invariant representation of motion based on the ISA, namely, the screw axis invariant descriptor (SAID), was proposed in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e219b72fdef860f7c53f6bb39945f11
Publikováno v:
IROS
Invariant representations of demonstrated motion trajectories provide context-independent motion models that can be used in motion recognition and generalization applications such as robot programming by demonstration. In practice, the use of invaria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e45446220004c2e3ee73afefc052523
https://lirias.kuleuven.be/handle/123456789/632359
https://lirias.kuleuven.be/handle/123456789/632359
Publikováno v:
Robotics and Autonomous Systems
In learning by demonstration, the generalization of motion trajectories far away from the set of demonstrations is often limited by the dependency of the learned models on arbitrary coordinate references. Trajectory shape descriptors have the potenti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b05a5ce5493677f9ace6c9366f1f190a
https://doi.org/10.1016/j.robot.2019.103291
https://doi.org/10.1016/j.robot.2019.103291
—(Semi-) autonomous complex UAV missions, such as inspection or search-and-rescue in uncertain dynamic environments, require obstacle avoidance and operator shared control. Combining humans’ cognitive abilities with fast automation is the key for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9775554acf9426f11d9b97c0fd1b3f4b
https://lirias.kuleuven.be/handle/123456789/543818
https://lirias.kuleuven.be/handle/123456789/543818
Publikováno v:
ICRA
In programming by demonstration, generalization is necessary to apply demonstrated motions in novel situations. Many existing trajectory representations have poor generalization capabilities since they are built on trajectory coordinates that depend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06c72c544e9a3c933beca1b95b0edff9
https://doi.org/10.1109/icra.2016.7487139
https://doi.org/10.1109/icra.2016.7487139
Publikováno v:
ICRA
This paper presents an overview and comparison of minimal and complete rigid body motion trajectory descriptors, usable in applications like motion recognition and programming by demonstration. Motion trajectory descriptors are able to deal with pote
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::381418981c9380295635a53186f71dc1
https://lirias.kuleuven.be/handle/123456789/492308
https://lirias.kuleuven.be/handle/123456789/492308
Publikováno v:
IEEE Robotics and Automation Letters
Variation in task requirements and operation in uncertain environments require robots that can continuously adapt their motions during execution. To do this successfully, the original motion characteristics must be preserved. This paper presents an a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd93d31255d879325866e8660d2bb78a