Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Mayya, Siddharth"'
Autor:
Notomista, Gennaro, Selvaggio, Mario, Santos, María, Mayya, Siddharth, Pagano, Francesca, Lippiello, Vincenzo, Secchi, Cristian
The ability of executing multiple tasks simultaneously is an important feature of redundant robotic systems. As a matter of fact, complex behaviors can often be obtained as a result of the execution of several tasks. Moreover, in safety-critical appl
Externí odkaz:
http://arxiv.org/abs/2310.16189
Aerial operation in turbulent environments is a challenging problem due to the chaotic behavior of the flow. This problem is made even more complex when a team of aerial robots is trying to achieve coordinated motion in turbulent wind conditions. In
Externí odkaz:
http://arxiv.org/abs/2306.04781
Autor:
Gosrich, Walker, Mayya, Siddharth, Narayan, Saaketh, Malencia, Matthew, Agarwal, Saurav, Kumar, Vijay
We propose a new formulation for the multi-robot task planning and allocation problem that incorporates (a) precedence relationships between tasks; (b) coordination for tasks allowing multiple robots to achieve increased efficiency; and (c) cooperati
Externí odkaz:
http://arxiv.org/abs/2209.14417
Autor:
Notomista, Gennaro, Mayya, Siddharth
This paper describes the methodology and outcomes of a series of educational events conducted in 2021 which leveraged robot swarms to educate high-school and university students about epidemiological models and how they can inform societal and govern
Externí odkaz:
http://arxiv.org/abs/2206.07477
Autor:
Gosrich, Walker, Mayya, Siddharth, Li, Rebecca, Paulos, James, Yim, Mark, Ribeiro, Alejandro, Kumar, Vijay
This paper develops a decentralized approach to mobile sensor coverage by a multi-robot system. We consider a scenario where a team of robots with limited sensing range must position itself to effectively detect events of interest in a region charact
Externí odkaz:
http://arxiv.org/abs/2109.15278
Autor:
Notomista, Gennaro, Mayya, Siddharth, Emam, Yousef, Kroninger, Christopher, Bohannon, Addison, Hutchinson, Seth, Egerstedt, Magnus
In the context of heterogeneous multi-robot teams deployed for executing multiple tasks, this paper develops an energy-aware framework for allocating tasks to robots in an online fashion. With a primary focus on long-duration autonomy applications, w
Externí odkaz:
http://arxiv.org/abs/2105.05586
We consider a scenario where a team of robots with heterogeneous sensors must track a set of hostile targets which induce sensory failures on the robots. In particular, the likelihood of failures depends on the proximity between the targets and the r
Externí odkaz:
http://arxiv.org/abs/2105.03813
For a multi-robot system equipped with heterogeneous capabilities, this paper presents a mechanism to allocate robots to tasks in a resilient manner when anomalous environmental conditions such as weather events or adversarial attacks affect the perf
Externí odkaz:
http://arxiv.org/abs/2009.04593
For multi-robot teams with heterogeneous capabilities, typical task allocation methods assign tasks to robots based on the suitability of the robots to perform certain tasks as well as the requirements of the task itself. However, in real-world deplo
Externí odkaz:
http://arxiv.org/abs/2003.03344
Executing multiple tasks concurrently is important in many robotic applications. Moreover, the prioritization of tasks is essential in applications where safety-critical tasks need to precede application-related objectives, in order to protect both t
Externí odkaz:
http://arxiv.org/abs/2003.02968