15,020 research outputs found
Rice-obot 1: An intelligent autonomous mobile robot
The Rice-obot I is the first in a series of Intelligent Autonomous Mobile Robots (IAMRs) being developed at Rice University's Cooperative Intelligent Mobile Robots (CIMR) lab. The Rice-obot I is mainly designed to be a testbed for various robotic and AI techniques, and a platform for developing intelligent control systems for exploratory robots. Researchers present the need for a generalized environment capable of combining all of the control, sensory and knowledge systems of an IAMR. They introduce Lisp-Nodes as such a system, and develop the basic concepts of nodes, messages and classes. Furthermore, they show how the control system of the Rice-obot I is implemented as sub-systems in Lisp-Nodes
Towards an Efficient Context-Aware System: Problems and Suggestions to Reduce Energy Consumption in Mobile Devices
Looking for optimizing the battery consumption is
an open issue, and we think it is feasible if we analyze the
battery consumption behavior of a typical context-aware
application to reduce context-aware operations at runtime.
This analysis is based on different context sensors
configurations. Actually existing context-aware approaches are
mainly based on collecting and sending context data to external
components, without taking into account how expensive are
these operations in terms of energy consumption. As a first
result of our work in progress, we are proposing a way for
reducing the context data publishing. We have designed a
testing battery consumption architecture supported by Nokia
Energy Profiler tool to verify consumption in different scenarios
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