Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Johannes Pankert"'
Autor:
Johannes Pankert, Giorgio Valsecchi, Davide Baret, Jon Zehnder, Lukasz L. Pietrasik, Marko Bjelonic, Marco Hutter
Publikováno v:
IEEE Robotics and Automation Letters, 7 (4)
A robotic platform for mobile manipulation needs to satisfy two contradicting requirements for many real-world applications: A compact base is required to navigate through cluttered indoor environments, while the support needs to be large enough to p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9a9f2a82946dd75dc9ab157697cc8bf
https://doi.org/10.1109/lra.2022.3189166
https://doi.org/10.1109/lra.2022.3189166
Autor:
Marco Hutter, Johannes Pankert
Publikováno v:
IEEE Robotics and Automation Letters, 5 (4)
A mobile robot needs to be aware of its environment to interact with it safely. We propose a receding horizon control scheme for mobile manipulators that tracks task space reference trajectories. It uses visual information to avoid obstacles and hapt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b637d1e6fde313270840c443564bfdc
https://doi.org/10.1109/lra.2020.3010721
https://doi.org/10.1109/lra.2020.3010721
Publikováno v:
IEEE Robotics and Automation Letters, 7 (1)
Measurement update rules for Bayes filters often contain hand-crafted heuristics to compute observation probabilities for high-dimensional sensor data, like images. In this work, we propose the novel approach Deep Measurement Update (DMU) as a genera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fd992c3711324997fb026276a774d8c
Publikováno v:
Humanoids
Two key questions in the context of stepping for push recovery are where to step and how to step there. In this paper we present a fast and computationally light-weight approach for capture stepping of full-sized humanoid robots. To this end, we deve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dfbefb9d8a274413877980cbd23f2d1
https://doi.org/10.1109/humanoids.2018.8625039
https://doi.org/10.1109/humanoids.2018.8625039