Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Tzoumanikas, Dimos"'
Autor:
Laina, Sebastián Barbas, Boche, Simon, Papatheodorou, Sotiris, Tzoumanikas, Dimos, Schaefer, Simon, Chen, Hanzhi, Leutenegger, Stefan
Forestry constitutes a key element for a sustainable future, while it is supremely challenging to introduce digital processes to improve efficiency. The main limitation is the difficulty of obtaining accurate maps at high temporal and spatial resolut
Externí odkaz:
http://arxiv.org/abs/2403.09596
Autor:
Papatheodorou, Sotiris, Funk, Nils, Tzoumanikas, Dimos, Choi, Christopher, Xu, Binbin, Leutenegger, Stefan
Exploration of unknown space with an autonomous mobile robot is a well-studied problem. In this work we broaden the scope of exploration, moving beyond the pure geometric goal of uncovering as much free space as possible. We believe that for many pra
Externí odkaz:
http://arxiv.org/abs/2302.14569
Autor:
Tzoumanikas, Dimos, Graule, Felix, Yan, Qingyue, Shah, Dhruv, Popovic, Marija, Leutenegger, Stefan
Aerial manipulation aims at combining the manoeuvrability of aerial vehicles with the manipulation capabilities of robotic arms. This, however, comes at the cost of the additional control complexity due to the coupling of the dynamics of the two syst
Externí odkaz:
http://arxiv.org/abs/2006.02116
Safe and precise reference tracking is a crucial characteristic of MAVs that have to operate under the influence of external disturbances in cluttered environments. In this paper, we present a NMPC that exploits the fully physics based non-linear dyn
Externí odkaz:
http://arxiv.org/abs/2002.06598
Exploration and collision-free navigation through an unknown environment is a fundamental task for autonomous robots. In this paper, a novel exploration strategy for Micro Aerial Vehicles (MAVs) is presented. The goal of the exploration strategy is t
Externí odkaz:
http://arxiv.org/abs/2002.04440
Autor:
Xu, Binbin, Li, Wenbin, Tzoumanikas, Dimos, Bloesch, Michael, Davison, Andrew, Leutenegger, Stefan
We propose a new multi-instance dynamic RGB-D SLAM system using an object-level octree-based volumetric representation. It can provide robust camera tracking in dynamic environments and at the same time, continuously estimate geometric, semantic, and
Externí odkaz:
http://arxiv.org/abs/1812.07976
Autor:
Li, Wenbin, Saeedi, Sajad, McCormac, John, Clark, Ronald, Tzoumanikas, Dimos, Ye, Qing, Huang, Yuzhong, Tang, Rui, Leutenegger, Stefan
Datasets have gained an enormous amount of popularity in the computer vision community, from training and evaluation of Deep Learning-based methods to benchmarking Simultaneous Localization and Mapping (SLAM). Without a doubt, synthetic imagery bears
Externí odkaz:
http://arxiv.org/abs/1809.00716
Akademický článek
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Akademický článek
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Autor:
Zhang, Ketao, Chermprayong, Pisak, Xiao, Feng, Tzoumanikas, Dimos, Dams, Barrie, Kay, Sebastian, Kocer, Basaran Bahadir, Burns, Alec, Orr, Lachlan, Alhinai, Talib, Choi, Christopher, Darekar, Durgesh Dattatray, Li, Wenbin, Hirschmann, Steven, Soana, Valentina, Ngah, Shamsiah Awang, Grillot, Clément, Sareh, Sina, Choubey, Ashutosh, Margheri, Laura
Publikováno v:
Nature; Feb2024, Vol. 626 Issue 7998, pE5-E5, 1p