Probabilistic Approaches and Algorithms for Indoor Robot Mapping in Structured Environments
Ankit A. Ravankar · Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University) · 2015
Robots have come a long way since the beginning of the industrial age. Traditionally, robots were meant to be bulky, with huge arms and fixed to a certain place away from human interaction. Early industrial robots brought a revolution into the manufacturing and production industries with rapid product development and round the clock use of robots in industries. At present, multiple robots are being employed in military, manufacturing, hospitals, and disaster mitigation and for entertainment. The most significant change has been brought up by the advancement of artificial intelligence and machine learning techniques in robotics. This has made possible for robots to become completely autonomous in unstructured environments by utilizing sensors. Today there are robots operating in hazardous areas in applications such as search and rescue, mapping of collapsed mines, disaster site surveying, disposing dangerous chemicals and bombs and numerous other examples. Autonomous robots have become crucial for our quest to outer space explorations.