MPI-IS in Tübingen is hosting a challenge that aims to advance the state of the art in robotic manipulation and make the field more accessible to a greater number of researchers
From August 3, researchers around the world are invited to take part in a challenge where each team can run its algorithm on standardized robotic platforms. The tasks range from manipulating a cube to writing with a pen. Participants can advance research, demonstrate that their algorithm works best not only in simulation but also on a real-world task, and win prizes.
Stefan Bauer Manuel Wüthrich Bernhard Schölkopf Felix Widmaier Linda Behringer Vaibhav Agrawal Ossama Ahmed Ann-Sophie Bähr Annika Buchholz Lieya Duong Jonathan Fiene Walter Gasparetto Anirudh Goyal Felix Grimminger Felix Grüninger Bilal Hammoud Shruti Joshi Georg Martius Heiko Ott Ludovic Righetti Sebastian Stark Naomi Tashiro Frederik Träuble Ruben Werbke Jonathan Williams
A soft material that heals itself instantaneously is now reality. A team of scientists at the Max Planck Institute for Intelligent Systems and at Pennsylvania State University tune the nanostructure of a new stretchable material in such a way that it now entirely recovers its structure and properties at the blink of an eye after being cut or poked. The squid-inspired material could revolutionize the research field of soft robotics. Since it can reverse any undergone damage, it makes many real-world applications possible in which robots have to deal with dynamic and unpredictable environments.
The Cyber Valley research group leader has taken on the “Data Science in Mechanical Engineering” chair
Participants from 39 countries on five continents are attending the online event.
With lectures, round table discussions, and social events, several of the world's top machine learning scientists are interacting with promising young researchers at the Machine Learning Summer School
With the help of magnetic fields, the bots might one day navigate the circulatory system to target tumors
Drug-carrying microrobots offer a way to deliver treatments straight to where they are needed, such as tumors deep within the body. But most bots designed in labs have so far been limited to easy-to-reach targets such as the gut. Now, researchers have developed drug-delivering “microrollers” that can move against blood flow (Sci. Robot. 2020, DOI: 10.1126/scirobotics.aba5726). With the help of a magnetic field, these two-faced particles might one day navigate our circulatory system to deliver treatments to tumors. The microrollers are coated on one side with magnetic materials and on the other with antibodies specific to cancer cells. These antibodies would help the particles selectively bind to tumors in the body, where they could release their payload. This targeted approach could minimize exposure of healthy cells to cancer drugs, reducing side effects.
Originally from Egypt, Maryam studies Cognitive Science at the University of Osnabrueck. She joined the Rationality Enhancement Group on July 1 as a student assistant. She is interested in Neuroscience and Human-Computer Interaction (usability experience).
...if the centre were to be absorbed into something bigger, says ETH Professor Thomas Hofmann. The Max Planck ETH Center for Learning Systems (CLS) is the first joint research centre between ETH Zurich and the German Max Planck Society (MPG). In May 2020, it celebrated its fifth anniversary and was extended for another five years. In this interview, the centre’s co-director Hofmann takes stock, looks to the future and explains why the topic of artificial intelligence requires thinking beyond national borders.
This year's lecture is being held online on June 23
The world-leading scientist in the field of deep learning will discuss how machine learning could be used in combination with contact tracing to mitigate the spread of COVID-19