Machine Learning

The LOVOTICS Journal of Machine Learning publishes the best scholory papers. Lovotics Robotics and Mechatronics Engineering are one of the most sustainable and growing subjects that has a major industrial, economic, environmental, technological and social impact in our daily life. They have no technological boundaries and never put an end to the applied research development at certain type of engineering subject. LOVOTICS mainly aiming to raise the efficiency of our industry, improve the human being quality of life and possibly get back human disabilities Machine learning (ML) permeates the Institute and plays an integral role in many robotics sub-fields as well as in many on-going projects. Supervised learning techniques have become standard within field robotics and are used for tasks as diverse as detecting and rejecting dust and snow (Stentz and Bagnell), to identifying vegetation and obstacles (Hebert, Bagnell, Stentz) in rough terrain. These techniques are relied upon now in many applications of 3D scene analysis. Scholarly peer review is the process of subjecting an author's scholarly work, research, or ideas to the scrutiny of others who are experts in the same field, before a paper describing this work is published in a journal. The work may be accepted, considered acceptable with revisions, or rejected. Peer review requires a community of experts in a given (narrowly defined) field, who are qualified and able to perform reasonably impartial review.
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Last date updated on July, 2014

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