This paper addresses the measurement of motion expressiveness in wheeled mobile robots. A neural network based supervised learning strategy is proposed as a method to fuse information obtained from the measurement of selected features. The choice of these features is made to reflect the visual quality of the trajectory and hence carries semantic ambiguities that are filtered out through the abi...

although construction has been known as a highly complex application field for autonomous robotic systems, recent advances in this field offer great hope for using robotic capabilities to develop automated construction. today, space research agencies seek to build infrastructures without human intervention, and construction companies look to robots with the potential to improve construction qua...