Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Helen Oleynikova"'
Autor:
Helen Oleynikova, Alexander Millane, Victor Reijgwart, Cesar Cadena, Roland Siegwart, Juan Nieto
Publikováno v:
IEEE Robotics and Automation Letters, 5 (1)
Globally consistent dense maps are a key requirement for long-term robot navigation in complex environments. While previous works have addressed the challenges of dense mapping and global consistency, most require more computational resources than ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c265714e73b406f67e27277fcdb5f711
https://doi.org/10.1109/lra.2019.2953859
https://doi.org/10.1109/lra.2019.2953859
Autor:
Jeffrey Delmerico, Roi Poranne, Federica Bogo, Helen Oleynikova, Eric Vollenweider, Stelian Coros, Juan Nieto, Marc Pollefeys
Spatial computing -- the ability of devices to be aware of their surroundings and to represent this digitally -- offers novel capabilities in human-robot interaction. In particular, the combination of spatial computing and egocentric sensing on mixed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d4880ef81af634fda81a410a234b888
Autor:
Helen Oleynikova, Jeffrey A. Delmerico, Christian Lanegger, Juan Nieto, Alexander Millane, Marc Pollefeys, Roland Siegwart, Cesar Cadena Lerma
Localization of a robotic system within a previously mapped environment is important for reducing estimation drift and for reusing previously built maps. Existing techniques for geometry-based localization have focused on the description of local sur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d1429f043ebfc4339544010a1494670
Publikováno v:
IROS
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
In many applications, maintaining a consistent map of the environment is key to enabling robotic platforms to perform higher-level decision making. Detection of already visited locations is one of the primary ways in which map consistency is maintain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70ff66be4bf168107961cc90a36326fe
Publikováno v:
Autonomous Robots
Within this paper a new path planning algorithm for autonomous robotic exploration and inspection is presented. The proposed method plans online in a receding horizon fashion by sampling possible future configurations in a geometric random tree. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a523a02e2d1b2f3f632e8b1d2d179ad
https://doi.org/10.1007/s10514-016-9610-0
https://doi.org/10.1007/s10514-016-9610-0
Autor:
Mina Kamel, Marija Popovic, Frank Mascarich, Christos Papachristos, Kostas Alexis, Roland Siegwart, Shehryar Khattak, Andreas Bircher, Helen Oleynikova, Tung Dang
Publikováno v:
Studies in Computational Intelligence ISBN: 9783319915890
This use case chapter presents a set of algorithms for the problems of autonomous exploration, terrain monitoring and optimized inspection path planning using aerial robots. The autonomous exploration algorithms described employ a receding horizon st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e83519c364bd185172b51ae0b7eb7e33
https://doi.org/10.1007/978-3-319-91590-6_3
https://doi.org/10.1007/978-3-319-91590-6_3
Publikováno v:
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
IROS
IROS
Many scenarios require a robot to be able to explore its 3D environment online without human supervision. This is especially relevant for inspection tasks and search and rescue missions. To solve this high-dimensional path planning problem, sampling-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b7b4e275d03178d4a5f126852e3b093
http://arxiv.org/abs/1803.10558
http://arxiv.org/abs/1803.10558
Autor:
Mark Pfeiffer, Helen Oleynikova, Mark Cox, Paulo Vinicius Koerich Borges, Emili Hernandez, Thomas Lowe, Fabio Ruetz
Publikováno v:
ICRA
This paper presents a novel approach for local 3D environment representation for autonomous unmanned ground vehicle (UGV) navigation called On Visible Point Clouds Mesh(OVPC Mesh). Our approach represents the surrounding of the robot as a watertight
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afe68187ba625e79b53a5085d22cd284
Autor:
Alexander Millane, Michael Pantic, Christian Lanegger, Helen Oleynikova, Zachary Taylor, Roland Siegwart, Juan Nieto
We present an open-source system for Micro-Aerial Vehicle autonomous navigation from vision-based sensing. Our system focuses on dense mapping, safe local planning, and global trajectory generation, especially when using narrow field of view sensors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0d8e9a0312236efd9b7f3306f6629bf
Publikováno v:
IROS
Micro-Aerial Vehicles (MAVs) have the advantage of moving freely in 3D space. However, creating compact and sparse map representations that can be efficiently used for planning for such robots is still an open problem. In this paper, we take maps bui
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b10003baa0a7cde0c106f979b47cc6f3