Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Katyal, Kapil D."'
Lightweight Uncertainty Quantification with Simplex Semantic Segmentation for Terrain Traversability
Autor:
Dijk, Judith, Burghouts, Gertjan, Katyal, Kapil D., Yeh, Bryanna Y., Knuth, Craig T., Fokkinga, Ella, Kasarla, Tejaswi, Mettes, Pascal
Publikováno v:
ICRA Off-road Autonomy workshop 2024
For navigation of robots, image segmentation is an important component to determining a terrain's traversability. For safe and efficient navigation, it is key to assess the uncertainty of the predicted segments. Current uncertainty estimation methods
Externí odkaz:
http://arxiv.org/abs/2407.13392
Autor:
Reddy, Arun V., Shah, Ketul, Paul, William, Mocharla, Rohita, Hoffman, Judy, Katyal, Kapil D., Manocha, Dinesh, de Melo, Celso M., Chellappa, Rama
Human action recognition is a challenging problem, particularly when there is high variability in factors such as subject appearance, backgrounds and viewpoint. While deep neural networks (DNNs) have been shown to perform well on action recognition t
Externí odkaz:
http://arxiv.org/abs/2303.10280
Autor:
Staley, Edward W., Ashcraft, Chace, Stoler, Benjamin, Markowitz, Jared, Vallabha, Gautam, Ratto, Christopher, Katyal, Kapil D.
Most approaches to deep reinforcement learning (DRL) attempt to solve a single task at a time. As a result, most existing research benchmarks consist of individual games or suites of games that have common interfaces but little overlap in their perce
Externí odkaz:
http://arxiv.org/abs/2112.00583
Robot navigation traditionally relies on building an explicit map that is used to plan collision-free trajectories to a desired target. In deformable, complex terrain, using geometric-based approaches can fail to find a path due to mischaracterizing
Externí odkaz:
http://arxiv.org/abs/2111.09768
Accurate state and uncertainty estimation is imperative for mobile robots and self driving vehicles to achieve safe navigation in pedestrian rich environments. A critical component of state and uncertainty estimation for robot navigation is to perfor
Externí odkaz:
http://arxiv.org/abs/2104.02799
Safe and high-speed navigation is a key enabling capability for real world deployment of robotic systems. A significant limitation of existing approaches is the computational bottleneck associated with explicit mapping and the limited field of view (
Externí odkaz:
http://arxiv.org/abs/2012.12142
Autor:
Rivera, Corban G., Popek, Katie M., Ashcraft, Chace, Staley, Edward W., Katyal, Kapil D., Paulhamus, Bart L.
In this work, we explore a novel framework for control of complex systems called Primitive Imitation for Control PICO. The approach combines ideas from imitation learning, task decomposition, and novel task sequencing to generalize from demonstration
Externí odkaz:
http://arxiv.org/abs/2006.12551
Akademický článek
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Autor:
Johannes, Matthew S., Faulring, Eric L., Katyal, Kapil D., Para, Matthew P., Helder, John B., Makhlin, Alexander, Moyer, Tom, Wahl, Daniel, Solberg, James, Clark, Steve, Armiger, Robert S., Lontz, Travis, Geberth, Kathryn, Moran, Courtney W., Wester, Brock A., Van Doren, Thomas, Santos-Munne, Julio J.
Publikováno v:
In Wearable Robotics 2020:393-444
Akademický článek
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