We are accustomed to seeing robots programmed to carry out a concrete task such as the robotic arms well known in industry. What is surprising is to see a robot walking without help and making decisions for itself. This is precisely what the Autonomous Robotics and Systems Research Team at the University of the Basque Country (UPV/EHU) are involved in: increasing the autonomy of robots so that they are evermore capable of carrying out more tasks on their own. Some years ago they developed Marisorgin, the robot for distributing mail and now they have put Tartalo into operation.
Those working on the third floor of the Computer Science Faculty in the Basque city of Donostia-San Sebastián find it normal and everyday to meet Tartalo in the corridors- meet, not bump into! This 1.5-metre tall, intelligent machine side-steps any obstacle in its path, thanks to sensors that have been installed around its “body”: sonars that emit and detect ultrasounds, infrared sensors and laser rays. The laser, for example, measures the distance of the robot from any object within a radius of 180 degrees. Mr Basilio Sierra’s team, although it did not build the robot, having acquired it, but it is developing and enhancing its abilities.
With these sensors and the computer that is the robot’s ‘brain’, Tartalo will have the wherewithal to move from one place to another without problems; in fact, to wander. What the research team at the Department of Computational Sciences and Artificial Intelligence want to achieve, however, is a robot capable of going anywhere it is told to.
Finding one’s way inside buildings
The machines best known for guiding one from a starting point to a given goal are GPS navigation systems. However, these do not function inside buildings and neither would it be realistic to create a database with the plans for every building in the world. For this reason the UPV/EHU researchers use biomimetic systems as a basis for developing the robot, meaning that Tartalo does the same as a person or animal on entering a new place: explore the terrain and take in points of reference. But, for a machine to carry out what living creatures do by, as it were, instinct, the computer programmers have to nevertheless put in a huge quantity of data, programmes and calculations.
Buildings are semi-structured environments wherein determined common spaces are always found. Tartalo has been “taught” (programmed) to recognise four of these: room, corridor, front hall and “junction”. Thus, if we were to take the robot to our home, the first thing it would have to do is to carry out a process of auto-location, going around the apartment in order to memorise the location of these four places. By this process the machine creates a species of topological map and the homeowner only has to teach it what each space is called. For this to be possible, UPV/EHU researchers are designing systems of interaction between machine and persons. For example, in order for the robot to understand instructions, they are perfecting a voice recognition system and touch screen.
Single eye, sharp vision
In order to identify what is in front, to distinguish between a room and a corridor, for example, Tartalo uses this single eye - which gives it its name – as a camera. It measures the images received through the eye-camera, compares them with its database and then evaluates probabilities to decide what the image that it has ahead looks like. The robot knows, for example, that if the space is long and narrow, it is a corridor.
The most important skill that Tartalo has been taught is to recognise doors. In fact, in order to access most of the places instructed to do so, the robot will have to pass through a doorway first. This is why the camera is located at the level of the doorknob or handle, which is what enables the identification of the door. When this happens, the system is programmed so that, when moving down a corridor, it seeks and negotiates doorways. If the door is closed, as it is not yet fitted with an arm to open it, it knocks two or three times on the door with its “feet”.
The aim of the UPV/EHU research team is to develop the navigation system of the robot and the recognition of doors is fundamental to this end. From now on, Tartalo will have to learn to distinguish between many other things, such as faces, voices or any object that it is asked to fetch. But each one of these actions requires a specific programme and this, for the time being, is outside the remit of the research being undertaken by the UPV/EHU Autonomous Robotics and Systems Research Team. Nevertheless, little by little the skills developed by other teams will be incorporated into this robot.
Alaitz Ochoa de Eribe | alfa
Quantum bugs, meet your new swatter
20.08.2018 | Rice University
Metamolds: Molding a mold
20.08.2018 | Institute of Science and Technology Austria
There are currently great hopes for solid-state batteries. They contain no liquid parts that could leak or catch fire. For this reason, they do not require cooling and are considered to be much safer, more reliable, and longer lasting than traditional lithium-ion batteries. Jülich scientists have now introduced a new concept that allows currents up to ten times greater during charging and discharging than previously described in the literature. The improvement was achieved by a “clever” choice of materials with a focus on consistently good compatibility. All components were made from phosphate compounds, which are well matched both chemically and mechanically.
The low current is considered one of the biggest hurdles in the development of solid-state batteries. It is the reason why the batteries take a relatively long...
New design tool automatically creates nanostructure 3D-print templates for user-given colors
Scientists present work at prestigious SIGGRAPH conference
Most of the objects we see are colored by pigments, but using pigments has disadvantages: such colors can fade, industrial pigments are often toxic, and...
Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...
Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
17.08.2018 | Event News
08.08.2018 | Event News
27.07.2018 | Event News
20.08.2018 | Information Technology
20.08.2018 | Life Sciences
20.08.2018 | Information Technology