Exploration is important for animals to be able to gather information about features of their environment that may directly or indirectly influence survival and reproduction. Closely related to exploration is neophobia, which may reduce exposure to danger, but also constrain explorative behaviour. Here we investigated the effects of social relationships on neophobia and exploration in wolves, C...

The CSU_YunLu team aims at the development of an intelligent team of heterogeneous robots that explore an unknown environment quickly and completely while map it accurately. To make each robot know how to response clearly and regularly, a common system structure is designed to guide robots’ behavior. Under this structure, an A-SLAM approach is proposed to conquer the challenges in mapping and l...

Khatunabad area is situated geologically in UrmiehDokhtar magmatic belt in NW of Iran. In this research, studied area has been investigated in order to recognize the potential copper and molybdenum-bearing target areas. The survey layers include the lithologic units, alteration, geochemical result, tectonics and copper and molybdenum occurrence. As an accurate decision can have a considerable e...

This paper presents an exploration of the ontological shift from musical materials (i.e. melody, harmony, rhythm, texture, timbre, register) to activities in music performance analysis. The “dogmas” extend Herbert H. Clark’s conceptual framework for the study of joint activity in language use to explore music performance in the WAM tradition. A systematic analysis of London Symphony Orchestra m...

Communication with remote exploration spacecraft is often intermittent and bandwidth is highly constrained. Future missions could use onboard science data understanding to prioritize downlink of critical features [1], draft summary maps of visited terrain [2], or identify targets of opportunity for followup measurements [3]. We describe a generic approach to classify geologic surfaces for auton...

This paper investigates exploration strategies of Deep Reinforcement Learning (DRL) methods to learn navigation policies for mobile robots. In particular, we augment the normal external reward for training DRL algorithms with intrinsic reward signals measured by curiosity. We test our approach in a mapless navigation setting, where the autonomous agent is required to navigate without the occupa...

Abstract The deposition and evolution of fine-grained sediments is a hot topic in sedimentary rock studies important for accurately evaluating shale gas sweet spots. In this paper, the characteristics Wufeng-Longmaxi shales, major targets Chinese exploration, were studied by using core observations, thin section analyses, scanning electron microscopy, geochemical analysis, fossil identification...

The present study investigated the gaze as well as the head and the eye-in-head movements of neglect patients while they were exploring their surroundings. A random configuration of letters was presented on the inner surface of a sphere that surrounded the subject, requiring free exploratory eye and head movements. The subjects were requested to search for a single (non-existent) target letter....

1 1 Copyright 2009 California Institute of Technology. Government sponsorship acknowledged. Abstract— The Autonomous Exploration for Gathering Increased Science System (AEGIS) will soon provide automated targeting for remote sensing instruments on the Mars Exploration Rover (MER) mission, which currently which currently has two rovers exploring the surface of Mars. Currently, targets for rover ...

We study how to improve sequential single-item auctions that assign targets to robots for exploration tasks such as environmental clean-up, space-exploration, and search and rescue missions. We exploit the insight that the resulting travel distances are small if the bidding and winner-determination rules are designed to result in hillclimbing, namely to assign an additional target to a robot in...