Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Velasquez, Andrés"'
Autor:
Gasparino, Mateus Valverde, Higuti, Vitor Akihiro Hisano, Sivakumar, Arun Narenthiran, Velasquez, Andres Eduardo Baquero, Becker, Marcelo, Chowdhary, Girish
Small robots that can operate under the plant canopy can enable new possibilities in agriculture. However, unlike larger autonomous tractors, autonomous navigation for such under canopy robots remains an open challenge because Global Navigation Satel
Externí odkaz:
http://arxiv.org/abs/2411.10974
Publikováno v:
Conference on Robot Learning (CoRL'22): Workshop on Learning to Adapt and Improve in the Real World, 2022
This paper presents a deep learning based model predictive control algorithm for control affine nonlinear discrete time systems with matched and bounded state-dependent uncertainties of unknown structure. Since the structure of uncertainties is not k
Externí odkaz:
http://arxiv.org/abs/2302.13558
Autor:
Abid, Khizar, Velasquez, Andres Felipe Baena, Sharma, Aditya, McSheridan, Alex Neil, Srivastava, Saket, Teodoriu, Catalin
Publikováno v:
In Renewable Energy December 2024 237 Part C
Autor:
Lo Forte, Francesco Maria, Boudoire, Guillaume, Frezzotti, Maria Luce, Rotolo, Silvio Giuseppe, Sandoval-Velasquez, Andres, Viveiros, Fátima, Zanon, Vittorio, Aiuppa, Alessandro, Rizzo, Andrea Luca
Publikováno v:
In Earth and Planetary Science Letters 1 November 2024 645
Autor:
Gasparino, Mateus Valverde, Sivakumar, Arun Narenthiran, Liu, Yixiao, Velasquez, Andres Eduardo Baquero, Higuti, Vitor Akihiro Hisano, Rogers, John, Tran, Huy, Chowdhary, Girish
We present a self-supervised approach for learning to predict traversable paths for wheeled mobile robots that require good traction to navigate. Our algorithm, termed WayFAST (Waypoint Free Autonomous Systems for Traversability), uses RGB and depth
Externí odkaz:
http://arxiv.org/abs/2203.12071
Autor:
Sharma, Aditya, Abid, Khizar, Srivastava, Saket, Baena Velasquez, Andres Felipe, Teodoriu, Catalin
Publikováno v:
In Petroleum September 2024 10(3):411-426
Autor:
Sivakumar, Arun Narenthiran, Modi, Sahil, Gasparino, Mateus Valverde, Ellis, Che, Velasquez, Andres Eduardo Baquero, Chowdhary, Girish, Gupta, Saurabh
We describe a system for visually guided autonomous navigation of under-canopy farm robots. Low-cost under-canopy robots can drive between crop rows under the plant canopy and accomplish tasks that are infeasible for over-the-canopy drones or larger
Externí odkaz:
http://arxiv.org/abs/2107.02792
Autor:
Velasquez, Andres Eduardo Baquero, Higuti, Vitor Akihiro Hisano, Gasparino, Mateus Valverde, Sivakumar, Arun Narenthiran, Becker, Marcelo, Chowdhary, Girish
Publikováno v:
Field Robotics 2 2022 1291 1319
This paper presents a state-of-the-art LiDAR based autonomous navigation system for under-canopy agricultural robots. Under-canopy agricultural navigation has been a challenging problem because GNSS and other positioning sensors are prone to signific
Externí odkaz:
http://arxiv.org/abs/2106.15029
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Akademický článek
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