Zobrazeno 1 - 10
of 1 111
pro vyhledávání: '"Hector, Garcia"'
Autor:
Bautista, Jesús, Acuaviva, Antonio, Hinojosa, José, Yao, Weijia, Jiménez, Juan, de Marina, Héctor García
We propose a self-contained, resilient and fully distributed solution for locating the maximum of an unknown 3D scalar field using a swarm of robots that travel at constant speeds. Unlike conventional reactive methods relying on gradient information,
Externí odkaz:
http://arxiv.org/abs/2410.15921
We present an algorithm to solve the problem of locating the source, or maxima, of a scalar field using a robot swarm. We demonstrate how the robot swarm determines its direction of movement to approach the source using only field intensity measureme
Externí odkaz:
http://arxiv.org/abs/2408.10152
This technical note aims to introduce geometric controllers to roboticists for aligning \emph{3D robots} with non-constant 3D vector fields. This alignment entails the control of the robot's 3D attitude. We derive with excessive detail all the calcul
Externí odkaz:
http://arxiv.org/abs/2406.14998
Unlike the case with identical neighboring agents whose actions are mirrored, the problem of distributed formation control design with heterogeneous sensing is not straightforward. In this paper, we consider the problem of distributed formation contr
Externí odkaz:
http://arxiv.org/abs/2311.12195
This paper focuses on coordinating a robot swarm orbiting a convex path without collisions among the individuals. The individual robots lack braking capabilities and can only adjust their courses while maintaining their constant but different speeds.
Externí odkaz:
http://arxiv.org/abs/2309.09101
We present a solution for locating the source, or maximum, of an unknown scalar field using a swarm of mobile robots. Unlike relying on the traditional gradient information, the swarm determines an ascending direction to approach the source with arbi
Externí odkaz:
http://arxiv.org/abs/2309.02937
Autor:
Jason Fontana, David Sparkman-Yager, Ian Faulkner, Ryan Cardiff, Cholpisit Kiattisewee, Aria Walls, Tommy G. Primo, Patrick C. Kinnunen, Hector Garcia Martin, Jesse G. Zalatan, James M. Carothers
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Engineering metabolism to efficiently produce chemicals from multi-step pathways requires optimizing multi-gene expression programs to achieve enzyme balance. CRISPR-Cas transcriptional control systems are emerging as important tools for pro
Externí odkaz:
https://doaj.org/article/5e3002d716ec47ceb8dca2261e3ce3bb
Autor:
Hector Garcia Pleitez, Sakditad Saowapa, Diego Olavarria-Bernal, Michel Juarez, Chanakarn Kanitthamniyom, Udit Verma
Publikováno v:
European Journal of Case Reports in Internal Medicine (2024)
Choriocarcinomas are uncommon tumors, with non-gestational types occurring in both males and females. Primary choriocarcinoma of the colon is extremely rare. It presents significant diagnostic and therapeutic challenges due to its aggressive nature a
Externí odkaz:
https://doaj.org/article/c7f9f8eb1065457fbf7c9694878760ea
Autor:
Martin, Hector Garcia, Radivojevic, Tijana, Zucker, Jeremy, Bouchard, Kristofer, Sustarich, Jess, Peisert, Sean, Arnold, Dan, Hillson, Nathan, Babnigg, Gyorgy, Marti, Jose Manuel, Mungall, Christopher J., Beckham, Gregg T., Waldburger, Lucas, Carothers, James, Sundaram, ShivShankar, Agarwal, Deb, Simmons, Blake A., Backman, Tyler, Banerjee, Deepanwita, Tanjore, Deepti, Ramakrishnan, Lavanya, Singh, Anup
Self-driving labs (SDLs) combine fully automated experiments with artificial intelligence (AI) that decides the next set of experiments. Taken to their ultimate expression, SDLs could usher a new paradigm of scientific research, where the world is pr
Externí odkaz:
http://arxiv.org/abs/2210.09085
Publikováno v:
The Eleventh International Conference on Learning Representations (2023) Retrieved from https://openreview.net/forum?id=8gd4M-_Rj1
Recent approximations to backpropagation (BP) have mitigated many of BP's computational inefficiencies and incompatibilities with biology, but important limitations still remain. Moreover, the approximations significantly decrease accuracy in benchma
Externí odkaz:
http://arxiv.org/abs/2209.11883