Zobrazeno 91 - 100
of 3 294
pro vyhledávání: '"Mohammadi, Ali"'
Publikováno v:
In International Journal of Heat and Fluid Flow December 2023 104
Autor:
Mohammadi, Ali, Sheikholeslam, Farid
Publikováno v:
In Engineering Applications of Artificial Intelligence November 2023 126 Part D
Autor:
Ebrahimian, Farinaz, Mohammadi, Ali
Publikováno v:
In Bioresource Technology November 2023 387
Autor:
Al-Hazmi, Hussein E., Mohammadi, Ali, Hejna, Aleksander, Majtacz, Joanna, Esmaeili, Amin, Habibzadeh, Sajjad, Saeb, Mohammad Reza, Badawi, Michael, Lima, Eder C., Mąkinia, Jacek
Publikováno v:
In Environmental Research 1 November 2023 236 Part 1
Publikováno v:
In Journal of Molecular Graphics and Modelling November 2023 124
In recent years, unsupervised deep learning approaches have received significant attention to estimate the depth and visual odometry (VO) from unlabelled monocular image sequences. However, their performance is limited in challenging environments due
Externí odkaz:
http://arxiv.org/abs/2011.00341
Autor:
Bouman, Amanda, Ginting, Muhammad Fadhil, Alatur, Nikhilesh, Palieri, Matteo, Fan, David D., Touma, Thomas, Pailevanian, Torkom, Kim, Sung-Kyun, Otsu, Kyohei, Burdick, Joel, Agha-mohammadi, Ali-akbar
This paper serves as one of the first efforts to enable large-scale and long-duration autonomy using the Boston Dynamics Spot robot. Motivated by exploring extreme environments, particularly those involved in the DARPA Subterranean Challenge, this pa
Externí odkaz:
http://arxiv.org/abs/2010.09259
Autor:
Fan, David D., Thakker, Rohan, Bartlett, Tara, Miled, Meriem Ben, Kim, Leon, Theodorou, Evangelos, Agha-mohammadi, Ali-akbar
Hybrid ground and aerial vehicles can possess distinct advantages over ground-only or flight-only designs in terms of energy savings and increased mobility. In this work we outline our unified framework for controls, planning, and autonomy of hybrid
Externí odkaz:
http://arxiv.org/abs/2009.05631
Autor:
Santamaria-Navarro, Angel, Thakker, Rohan, Fan, David D., Morrell, Benjamin, Agha-mohammadi, Ali-akbar
Robots and particularly drones are especially useful in exploring extreme environments that pose hazards to humans. To ensure safe operations in these situations, usually perceptually degraded and without good GNSS, it is critical to have a reliable
Externí odkaz:
http://arxiv.org/abs/2008.09679
Publikováno v:
IEEE Robotics and Automation Letters, Volume: 5 , Issue: 2 , April 2020
In addition to conventional ground rovers, the Mars 2020 mission will send a helicopter to Mars. The copter's high-resolution data helps the rover to identify small hazards such as steps and pointy rocks, as well as providing rich textual information
Externí odkaz:
http://arxiv.org/abs/2008.07157