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AI
1999
Springer
14 years 9 months ago
Cooperative Behavior Acquisition for Mobile Robots in Dynamically Changing Real Worlds Via Vision-Based Reinforcement Learning a
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
Minoru Asada, Eiji Uchibe, Koh Hosoda
INFOCOM
2009
IEEE
15 years 4 months ago
An Adaptive Link Layer for Range Diversity in Multi-Radio Mobile Sensor Networks
—An important challenge in mobile sensor networks is to enable energy-efficient communication over a diversity of distances while being robust to wireless effects caused by node...
Jeremy Gummeson, Deepak Ganesan, Mark D. Corner, P...
PERVASIVE
2005
Springer
15 years 3 months ago
Parasitic Mobility for Pervasive Sensor Networks
Distributed sensor networks offer many new capabilities for contextually monitoring environments. By making such systems mobile, we increase the application-space for the distribut...
Mathew Laibowitz, Joseph A. Paradiso
SAC
2005
ACM
15 years 3 months ago
Formal modeling and quantitative analysis of KLAIM-based mobile systems
KLAIM is an experimental language designed for modeling and programming distributed systems composed of mobile components where distribution awareness and dynamic system architect...
Rocco De Nicola, Diego Latella, Mieke Massink
MM
2010
ACM
163views Multimedia» more  MM 2010»
14 years 10 months ago
Multi-exposure imaging on mobile devices
Many natural scenes have a dynamic range that is larger than the dynamic range of a camera's image sensor. A popular approach to producing an image without under- and over-ex...
Natasha Gelfand, Andrew Adams, Sung Hee Park, Kari...