America’s ability to rely on traditional sensing systems providing vital intelligence information from within anti-access / area denial (A2/AD) environments is at risk. Adversaries are hardening their A2/AD defenses by developing capabilities to destroy, deny, degrade, disrupt, and deceive (D5) our traditional sensing systems. Furthermore, traditional sensing systems continue to suffer from an ...

Microelectromechanical resonators are advantageous over traditional LC tanks and off-chip quartz crystals due to their high quality factors, small size and low power consumption. FET-sensing has been demonstrated in resonant body transistors (RBTs) to reach an order of magnitude higher frequencies than possible with passive resonators due to the greater sensing efficiency of FET sensing over tr...

This work surveys the major methods for model-based active sensing in robotics. Active sensing in robotics incorporates the following aspects: (i) where to position sensors, and (ii) how to make decisions for next actions, in order to maximize information gain and minimize costs. We concentrate on the second aspect: “Where should the robot move at the next time step?”. The emphasis here is on B...

In rats, the long facial whiskers (mystacial macrovibrissae) are repetitively and rapidly swept back and forth during exploration in a behaviour known as 'whisking'. In this paper, we summarize previous evidence from rats, and present new data for rat, mouse and the marsupial grey short-tailed opossum (Monodelphis domestica) showing that whisking in all three species is actively controlled both...

One approach to designing an intelligent agent capable of winning competitive games such as Texas hold’em poker is to use opponent modeling to learn about an opponent’s behavior, then exploit that knowledge to maximize long term winnings. However, opponent modeling can suffer from several problems, including slow convergence due to a lack of a priori knowledge, noisy or dynamic opponent behavio...

This paper investigates modeling indoor environments using a low-cost, compact, active-range camera, known as BIRIS, mounted onto a pan and tilt motor unit. The BIRIS sensor, developed at the National Research Council of Canada, is a rugged small camera with no moving parts. The objectives of this paper are to describe and demonstrate the viability of the use of a low-cost range sensor in the d...

A curious agent acts so as to optimize its learning about itself and its environment, without external supervision. We present a model of hierarchical curiosity loops for such an autonomous active learning agent, whereby each loop selects the optimal action that maximizes the agent's learning of sensory-motor correlations. The model is based on rewarding the learner's prediction errors in an ac...

1.0 INTRODUCTION Numerous studies have shown the influence of soil moisture on the feedbacks between landsurface and climate, which in turn affect the dynamics of the atmosphere boundary layer and have a direct relationship to weather and global climate (Shukla and Mintz, 1982). Chang, et al., 1991 have shown the influence of spatial variations of soil moisture and vegetation on the development...

Artur Ars enio and M. Isabel Ribeiro Instituto Superior T ecnico/Instituto de Sistemas e Rob otica Av. Rovisco Pais 1 P 1096 Lisboa Codex, PORTUGAL faaa,[email protected] Phone: +351-1-8418059 Fax: +351-1-8418291 Abstract This paper presents an active scheme for the localization of a mobile robot based on the detection of natural landmarks of structured or semi-structured environments. The me...