Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...
This paper describes the hardware and software architecture of the Attempto RoboCup-99 team. We first present the design of our heavily modified commercial robotic base, the robo...
Abstract. This article discusses the issues of adaptive autonomous navigation as a challenge of artificial intelligence. We argue that, in order to enhance the dexterity and adapti...
We derive analytical expressions of local codim-1-bifurcations for a fully connected, additive, discrete-time RNN, where we regard the external inputs as bifurcation parameters. Th...
ion Flow Control for Standard OS Abstractions Maxwell Krohn Alexander Yip Micah Brodsky Natan Cliffer M. Frans Kaashoek Eddie Kohler† Robert Morris MIT CSAIL †UCLA http://flum...
Maxwell N. Krohn, Alexander Yip, Micah Z. Brodsky,...