Allergic
发表于 2025-3-23 10:13:48
M. Robert,M. Campone,J.-S. Frenelparisons with a state-of-the-art boustrophedon-based method show that our approach has a significantly lower total coverage time. Additionally, we demonstrate that our system is capable of performing online recharging and replanning in dynamic, crowded environments while obtaining a high coverage pe
出没
发表于 2025-3-23 14:34:28
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四牛在弯曲
发表于 2025-3-23 21:47:24
G. Manceau,P. Laurent-Puigparisons with a state-of-the-art boustrophedon-based method show that our approach has a significantly lower total coverage time. Additionally, we demonstrate that our system is capable of performing online recharging and replanning in dynamic, crowded environments while obtaining a high coverage pe
LAITY
发表于 2025-3-24 01:17:43
P. Cornillet-Lefebvre,A. Quinquenel,B. Gaillarde to allow the tracker to update its tracking and further propose ego-poses at the next time-step. ALOT is tested on real-world data collected in a laboratory. In low to moderately dynamic environments, it achieves an average positional and heading errors of 0.171 m and 1.63. respectively. When run
Coronary
发表于 2025-3-24 06:19:29
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松软无力
发表于 2025-3-24 07:49:03
al-time. The proposed system is evaluated using the TUM RGB-D dataset and compared tracking errors with the state-of-the-art vSLAM methods under dynamic environments. RTS-vSLAM outperforms the others in tracking accuracy in a highly dynamic scenario and reduces the time delays greatly.
万灵丹
发表于 2025-3-24 11:52:52
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Creditee
发表于 2025-3-24 17:28:57
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Integrate
发表于 2025-3-24 20:50:28
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Heart-Rate
发表于 2025-3-25 00:52:15
s to predict the final human action. The proposed framework was evaluated on a dedicated dataset, named IAS-Lab Collaborative HAR dataset, which includes both actions and gestures commonly used in human-robot collaboration tasks. The experimental results demonstrated how the ensemble of the differen