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HCI
2007
13 years 11 months ago
Improving the Mobility Performance of Autonomous Unmanned Ground Vehicles by Adding the Ability to 'Sense/Feel' Their Local Envi
This paper explores how a ‘learning’ algorithm can be added to UGV’s by giving it the ability to test the terrain through ‘feeling’ using incorporated sensors, which woul...
Siddharth Odedra, Stephen D. Prior, Mehmet Karaman...
RAS
2002
131views more  RAS 2002»
13 years 9 months ago
Behavior generation for a mobile robot based on the adaptive fitness function
We have to prepare the evaluation (fitness) function to evaluate the performance of the robot when we apply the machine learning techniques to the robot application. In many cases,...
Eiji Uchibe, Masakazu Yanase, Minoru Asada
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
14 years 4 months ago
Towards Mapping of Cities
— Map learning is a fundamental task in mobile robotics because maps are required for a series of high level applications. In this paper, we address the problem of building maps ...
Patrick Pfaff, Rudolph Triebel, Cyrill Stachniss, ...
MOBISYS
2008
ACM
14 years 9 months ago
Behavioral detection of malware on mobile handsets
A novel behavioral detection framework is proposed to detect mobile worms, viruses and Trojans, instead of the signature-based solutions currently available for use in mobile devi...
Abhijit Bose, Xin Hu, Kang G. Shin, Taejoon Park
CLOUDCOM
2010
Springer
13 years 6 months ago
Power of Clouds in Your Pocket: An Efficient Approach for Cloud Mobile Hybrid Application Development
The advancements in computing have resulted in a boom of cheap, ubiquitous, connected mobile devices as well as seemingly unlimited, utility style, pay as you go computing resourc...
Ashwin Manjunatha, Ajith Ranabahu, Amit P. Sheth, ...