Diseño y prototipado de un carrito de la compra capaz de seguir a una persona y evitar obstáculos

The aim of this Final Year Project was to design a shopping trolley that is able to navigate autonomously following a human within a 3 feet distance, transport a load up to 20 kg and avoid collisions. Due to the large weight of the load, it has been decided to build a smaller prototype and then choose the components needed to build the real size trolley. One infrared transmitter is attached to the body of the target person and several infrared phototransistors are placed on the robot to calculate the relative position robot-person and the distance between them. A collision avoidance algorithm has been implemented using ultrasonic sensors for detecting the nearest obstacles. An ARM mbed NXP LPC1768 microcontroller coordinates every sensor measure and control calculation. It also controls the power stage designed for driving the motors

A Study on UWB-Aided Localization for Multi-UAV Systems in GNSS-Denied Environments

Unmanned Aerial Vehicles (UAVs) have seen an increased penetration in industrial applications in recent years. Some of those applications have to be carried out in GNSS-denied environments. For this reason, several localization systems have emerged as an alternative to GNSS-based systems such as Lidar and Visual Odometry, Inertial Measurement Units (IMUs), and over the past years also UWB-based systems. UWB technology has increased its popularity in the robotics field due to its high accuracy distance estimation from ranging measurements of wireless signals, even in non-line-of-sight measurements. However, the applicability of most of the UWB-based localization systems is limited because they rely on a fixed set of nodes, named anchors, which requires prior calibration. In this thesis, we present a localization system based on UWB technology with a built-in collaborative algorithm for the online autocalibration of the anchors. This autocalibration method, enables the anchors to be movable and thus, to be used in ad-doc and dynamic deployments. The system is based on Decawave's DWM1001 UWB transceivers. Compared to Decawave's autopositioning algorithm we drastically reduce the calibration time while increasing accuracy. We provide both experimental measurements and simulation results to demonstrate the usability of this algorithm. We also present a comparison between our UWB-based and other non-GNSS localization systems for UAVs positioning in indoor environments