Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Martijn Wisse"'
Autor:
Ajith Anil Meera, Martijn Wisse
Publikováno v:
Entropy, Vol 23, Iss 10, p 1306 (2021)
The free energy principle from neuroscience has recently gained traction as one of the most prominent brain theories that can emulate the brain’s perception and action in a bio-inspired manner. This renders the theory with the potential to hold the
Externí odkaz:
https://doaj.org/article/79c1f238176e4231b5146b4b5fad5246
Publikováno v:
AIP Advances, Vol 8, Iss 2, Pp 025006-025006-19 (2018)
Increasing grasping efficiency is very important for the robots to grasp unknown objects especially subjected to unfamiliar environments. To achieve this, a new algorithm is proposed based on the C-shape configuration. Specifically, the geometric mod
Externí odkaz:
https://doaj.org/article/d8d31a730a2b4e31b79a9b8561ba0d38
Publikováno v:
AIP Advances, Vol 7, Iss 9, Pp 095126-095126-21 (2017)
Fast grasping of unknown objects has crucial impact on the efficiency of robot manipulation especially subjected to unfamiliar environments. In order to accelerate grasping speed of unknown objects, principal component analysis is utilized to direct
Externí odkaz:
https://doaj.org/article/3f1cc1a011ac424280db91f6db00ae4d
Optimization fabrics are a geometric approach to real-time local motion generation, where motions are designed by the composition of several differential equations that exhibit a desired motion behavior. We generalize this framework to dynamic scenar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::feca0ffc9d84c57a0331c4fa16e76a98
Autor:
Martijn Wisse, Ajith Anil Meera
Publikováno v:
Entropy
Volume 23
Issue 10
Entropy, Vol 23, Iss 1306, p 1306 (2021)
Entropy: international and interdisciplinary journal of entropy and information studies, 23(10)
Volume 23
Issue 10
Entropy, Vol 23, Iss 1306, p 1306 (2021)
Entropy: international and interdisciplinary journal of entropy and information studies, 23(10)
The free energy principle from neuroscience has recently gained traction as one of the most prominent brain theories that can emulate the brain’s perception and action in a bio-inspired manner. This renders the theory with the potential to hold the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6b0fd770a877cdabd9e0c6672249e27
Autor:
Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse
This volume constitutes the papers of the 4th International Workshop on Active Inference, IWAI 2023, held in Ghent, Belgium on September 2023.The 17 full papers included in this book were carefully reviewed and selected from 34 submissions. They were
Autor:
Ajith Anil Meera, Martijn Wisse
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030937355
The free energy principle from neuroscience provides an efficient data-driven framework called the Dynamic Expectation Maximization (DEM), to learn the generative model in the environment. DEM’s growing potential to be the brain-inspired learning a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ad9e17a3e7a21b179ed4c3af6517b62
https://doi.org/10.1007/978-3-030-93736-2_49
https://doi.org/10.1007/978-3-030-93736-2_49
We propose a hybrid combination of active inference and behavior trees (BTs) for reactive action planning and execution in dynamic environments, showing how robotic tasks can be formulated as a free-energy minimization problem. The proposed approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61a555ec7ed029cf341290152ca2cff9
http://arxiv.org/abs/2011.09756
http://arxiv.org/abs/2011.09756
Publikováno v:
Advanced Robotics, 32(20)
Grasp synthesis for unknown objects is a challenging problem as the algorithms are expected to cope with missing object shape information. This missing information is a function of the vision sensor viewpoint. The majority of the grasp synthesis algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::061c9095fbf96e5b228b633eff4b58c1
https://doi.org/10.1080/01691864.2018.1520145
https://doi.org/10.1080/01691864.2018.1520145
Publikováno v:
IEEE Robotics and Automation Letters. 3:1655-1662
Sampling-based kinodynamic planners, such as Rapidly-exploring Random Trees (RRTs), pose two fundamental challenges: computing a reliable (pseudo-)metric for the distance between two randomly sampled nodes, and computing a steering input to connect t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d417f11373a20496227804941e1b810c
https://doi.org/10.1109/lra.2018.2801470
https://doi.org/10.1109/lra.2018.2801470