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of 81
pro vyhledávání: '"Kwak, Kiho"'
Autonomous navigation in off-road conditions requires an accurate estimation of terrain traversability. However, traversability estimation in unstructured environments is subject to high uncertainty due to the variability of numerous factors that inf
Externí odkaz:
http://arxiv.org/abs/2307.13991
Traversability estimation for mobile robots in off-road environments requires more than conventional semantic segmentation used in constrained environments like on-road conditions. Recently, approaches to learning a traversability estimation from pas
Externí odkaz:
http://arxiv.org/abs/2211.11201
Publikováno v:
IEEE Robotics and Automation Letters, 8.2 (2023):888-895
For the safe and successful navigation of autonomous vehicles in unstructured environments, the traversability of terrain should vary based on the driving capabilities of the vehicles. Actual driving experience can be utilized in a self-supervised fa
Externí odkaz:
http://arxiv.org/abs/2209.06522
We present a sampling-based control approach that can generate smooth actions for general nonlinear systems without external smoothing algorithms. Model Predictive Path Integral (MPPI) control has been utilized in numerous robotic applications due to
Externí odkaz:
http://arxiv.org/abs/2112.09988
Publikováno v:
In Computers & Industrial Engineering June 2024 192
Publikováno v:
In Journal of Cleaner Production 15 April 2023 397
Autor:
Kwak, Kiho, Kim, Namil
Publikováno v:
In Technological Forecasting & Social Change July 2022 180
Akademický článek
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