Zobrazeno 1 - 10
of 416
pro vyhledávání: '"Leonard, Naomi"'
Soft robots offer a frontier in robotics with enormous potential for safe human-robot interaction and agility in uncertain environments. A steppingstone towards unlocking the potential of soft robotics is a tailored control theory, including a princi
Externí odkaz:
http://arxiv.org/abs/2410.17058
We present and analyze a mathematical model to study the feedback between behavior and epidemic spread in a population that is actively assessing and reacting to risk of infection. In our model, a population dynamically forms an opinion that reflects
Externí odkaz:
http://arxiv.org/abs/2410.12993
Multi-agent systems in biology, society, and engineering are capable of making decisions through the dynamic interaction of their elements. Nonlinearity of the interactions is key for the speed, robustness, and flexibility of multi-agent decision-mak
Externí odkaz:
http://arxiv.org/abs/2410.00798
We propose a nonlinear opinion dynamics model for an agent making decisions about a continuous distribution of options in the presence of distributed input. Inspired by perceptual decision-making, we develop the theory for options distributed on the
Externí odkaz:
http://arxiv.org/abs/2409.12420
We present Excitable Nonlinear Opinion Dynamics (E-NOD), which describe opinion-forming and decision-making behavior with superior "agility" in responding and adapting to fast and unpredictable changes in context, environment, or information about av
Externí odkaz:
http://arxiv.org/abs/2409.12317
Autor:
Yang, Yulong, Feng, Bowen, Wang, Keqin, Leonard, Naomi, Dieng, Adji Bousso, Allen-Blanchette, Christine
From pedestrians to Kuramoto oscillators, interactions between agents govern how a multitude of dynamical systems evolve in space and time. Discovering how these agents relate to each other can improve our understanding of the often complex dynamics
Externí odkaz:
http://arxiv.org/abs/2406.14746
Autor:
Hu, Haimin, DeCastro, Jonathan, Gopinath, Deepak, Rosman, Guy, Leonard, Naomi Ehrich, Fisac, Jaime Fernández
Non-cooperative interactions commonly occur in multi-agent scenarios such as car racing, where an ego vehicle can choose to overtake the rival, or stay behind it until a safe overtaking "corridor" opens. While an expert human can do well at making su
Externí odkaz:
http://arxiv.org/abs/2406.09810
Autor:
Arbelaiz, Juncal, Franci, Alessio, Leonard, Naomi Ehrich, Sepulchre, Rodolphe, Bamieh, Bassam
We propose and analyze the suitability of a spiking controller to engineer the locomotion of a soft robotic crawler. Inspired by the FitzHugh-Nagumo model of neural excitability, we design a bistable controller with an electrical flipflop circuit rep
Externí odkaz:
http://arxiv.org/abs/2405.20593
Autor:
Belaustegui, Ian Xul, Arango, Marcela Ordorica, Rossi-Pool, Román, Leonard, Naomi Ehrich, Franci, Alessio
An important problem in many areas of science is that of recovering interaction networks from simultaneous time-series of many interacting dynamical processes. A common approach is to use the elements of the correlation matrix or its inverse as proxi
Externí odkaz:
http://arxiv.org/abs/2403.05457
Autor:
Lidard, Justin, Hu, Haimin, Hancock, Asher, Zhang, Zixu, Contreras, Albert Gimó, Modi, Vikash, DeCastro, Jonathan, Gopinath, Deepak, Rosman, Guy, Leonard, Naomi Ehrich, Santos, María, Fisac, Jaime Fernández
As intelligent robots like autonomous vehicles become increasingly deployed in the presence of people, the extent to which these systems should leverage model-based game-theoretic planners versus data-driven policies for safe, interaction-aware motio
Externí odkaz:
http://arxiv.org/abs/2402.14174