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In the last few years, the field of mobile robotics has made lots of advancements. These advancements are due to the extensive application of mobile robots for autonomous exploration. Mobile robots are being popularly used for applications in space, underwater explorations, underground coal mines monitoring, inspection in chemical/toxic/ nuclear factories etc. But if these environments are unknown/unpredictable,...
Machine learning refers to systematic design and development of algorithms that allows computers to evolve behaviors based on some realistic data (online or offline). Q-learning, a sub-part of the reinforcement learning is being used world wide for easy learning of mobile robots. Light exploration is one of the important issues for developing green robots. This paper describes the work carried out...
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