Active state estimation for high degrees of freedom robotic applications KU Leuven
Planning actions under uncertainty has always played a significant part in robotics. As robots become more prevalent in dynamic home, industrial, and harsh environmental settings, they will be increasingly required to make independent decisions about how to accomplish their tasks, very often under (severe) uncertainty. Sources of uncertainties in robotics are derived from sensor noise, uncertain actuators, and uncertainties in environmental ...