Zobrazeno 1 - 10
of 372
pro vyhledávání: '"MURPHEY, TODD"'
Autor:
Shi, Lu, Haseli, Masih, Mamakoukas, Giorgos, Bruder, Daniel, Abraham, Ian, Murphey, Todd, Cortes, Jorge, Karydis, Konstantinos
Koopman operator theory offers a rigorous treatment of dynamics and has been emerging as a powerful modeling and learning-based control method enabling significant advancements across various domains of robotics. Due to its ability to represent nonli
Externí odkaz:
http://arxiv.org/abs/2408.04200
Tactile perception is important for robotic systems that interact with the world through touch. Touch is an active sense in which tactile measurements depend on the contact properties of an interaction--e.g., velocity, force, acceleration--as well as
Externí odkaz:
http://arxiv.org/abs/2405.11776
A widely accepted explanation for robots planning overcautious or overaggressive trajectories alongside human is that the crowd density exceeds a threshold such that all feasible trajectories are considered unsafe -- the freezing robot problem. Howev
Externí odkaz:
http://arxiv.org/abs/2403.01542
Ergodic search enables optimal exploration of an information distribution while guaranteeing the asymptotic coverage of the search space. However, current methods typically have exponential computation complexity in the search space dimension and are
Externí odkaz:
http://arxiv.org/abs/2403.01536
Robots navigating in crowded areas should negotiate free space with humans rather than fully controlling collision avoidance, as this can lead to freezing behavior. Game theory provides a framework for the robot to reason about potential cooperation
Externí odkaz:
http://arxiv.org/abs/2403.01537
Autor:
Ketchum, Jake, Schiffer, Sophia, Sun, Muchen, Kaarthik, Pranav, Truby, Ryan L., Murphey, Todd D.
Gait generation for soft robots is challenging due to the nonlinear dynamics and high dimensional input spaces of soft actuators. Limitations in soft robotic control and perception force researchers to hand-craft open loop controllers for gait sequen
Externí odkaz:
http://arxiv.org/abs/2310.00498
Robots and animals both experience the world through their bodies and senses. Their embodiment constrains their experiences, ensuring they unfold continuously in space and time. As a result, the experiences of embodied agents are intrinsically correl
Externí odkaz:
http://arxiv.org/abs/2309.15293
Autor:
Fan, Taosha, Ortiz, Joseph, Hsiao, Ming, Monge, Maurizio, Dong, Jing, Murphey, Todd, Mukadam, Mustafa
Scaling to arbitrarily large bundle adjustment problems requires data and compute to be distributed across multiple devices. Centralized methods in prior works are only able to solve small or medium size problems due to overhead in computation and co
Externí odkaz:
http://arxiv.org/abs/2305.07026
Autor:
Meyer, Joel, Prabhakar, Ahalya, Pinosky, Allison, Abraham, Ian, Taylor, Annalisa, Schlafly, Millicent, Popovic, Katarina, Diniz, Giovani, Teich, Brendan, Simidchieva, Borislava, Clark, Shane, Murphey, Todd
We present a method for controlling a swarm using its spectral decomposition -- that is, by describing the set of trajectories of a swarm in terms of a spatial distribution throughout the operational domain -- guaranteeing scale invariance with respe
Externí odkaz:
http://arxiv.org/abs/2212.03106
Autor:
Kalinowska, Aleksandra, Davoodi, Elnaz, Strub, Florian, Mathewson, Kory W, Kajic, Ivana, Bowling, Michael, Murphey, Todd D, Pilarski, Patrick M
While it is known that communication facilitates cooperation in multi-agent settings, it is unclear how to design artificial agents that can learn to effectively and efficiently communicate with each other. Much research on communication emergence us
Externí odkaz:
http://arxiv.org/abs/2211.01480