Robot developed by EPFL researchers is capable of reacting on the spot and grasping objects with complex shapes and trajectories in less than five-hundredths of a second
With its palm open, the robot is completely motionless. A split second later, it suddenly unwinds and catches all sorts of flying objects thrown in its direction -a tennis racket, a ball, a bottle-. This arm measures about 1.5 meters long and keeps an upright position.
It has three joints and a sophisticated hand with four fingers. It was programmed at the Learning Algorithms and Systems Laboratory at EPFL (LASA) and designed to test robotic solutions for capturing moving objects. It is unique, as it has the ability to catch projectiles of various irregular shapes in less than five hundredths of a second. This invention is described in an article published today by IEEE transactions on robotics, the first journal in the field.
"Increasingly present in our daily lives and used to perform various tasks, robots will be able to either catch or dodge complex objects in full-motion, said Aude Billard, head of LASA. Not only do we need machines able to react on the spot, but also to predict the moving object's dynamics and generate a movement in the opposite direction."
This robotic arm already has a very real potential application in space. It has been associated to the Clean- mE project carried out by the Swiss Space Center at EPFL, which aims to develop technologies for the recovery and disposal of space debris orbiting around Earth. Fitted on a satellite, the arm would have the task of catching flying debris, whose dynamics are only partially known. Hence, the robot will not be able to work out such dynamics with precision until in space, by observing the movement of the approaching objects.
The ability to catch flying things requires the integration of several parameters and reacting to unforeseen events in record time. "Today's machines are often pre-programmed and cannot quickly assimilate data changes, added Aude Billard. Consequently, their only choice is to recalculate the trajectories, which requires too much time from them in situations in which every fraction of a second can be decisive."
To obtain the desired speed and adaptability, LASA researchers were inspired by the way humans themselves learn: by imitation and trial and error. This technique, called Programming by demonstration, does not give specific directions to the robot. Instead, it shows examples of possible trajectories to it. It consists in manually guiding the arm to the projected target and repeating this exercise several times.
The research was conducted with a ball, an empty bottle, a half full bottle, a hammer and a tennis racket. These five common objects were selected because they offer a varied range of situations in which the part of the object that the robot has to catch (the handle of the racket, for example) does not correspond to its center of gravity. The case of the bottle even offers an additional challenge since its center of gravity moves several times during its trajectory. When projected into the air, all these items will make even more complex movements, often involving several axes. As a result, when the moving objects are submitted to the robot's abilities, the outcomes turn out quite interesting.
In the first learning phase, objects are thrown several times in the robot's direction. Through a series of cameras located all around it, the robot creates a model for the objects' kinetics based on their trajectories, speeds and rotational movement. Scientists translate it into an equation which then allows the robot to position itself very quickly in the right direction whenever an object is thrown. During the few milliseconds of the approach, the machine refines and corrects the trajectory for a real-time and high precision capture. This efficiency is further enhanced by the development of controllers that couple and synchronize the movements of the hand and fingers.
Aude Billard, Learning algorithms and systems Laboratory EPFL: email firstname.lastname@example.org, tel: +41 21 693 54 64.
Ashwini Shukla, assistant-doctorant, LASA: email email@example.com, tel: +41 21 693 69 47, cell +41 78 693 66 57.
Seungsu Kim, assistant-doctorant, LASA: email firstname.lastname@example.org, tel: +41 21 69 35463, cell +41 79 261 65 78.
Sarah Perrin, scientific editor at EPFL: email email@example.com, tel: +41 21 693 21 07.
Hillary sanctuary, EPFL Media Relations, Hillary.firstname.lastname@example.org, +41 21 693 70 22, cell: +41 79 703 48 09
Sarah Perrin | Eurek Alert!
A Dream for the Future: “Flying with Green Fuel"
25.07.2018 | Universität Bremen
Investigating cell membranes: researchers develop a substance mimicking a vital membrane component
25.05.2018 | Westfälische Wilhelms-Universität Münster
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