Autonomous Learning
Appointment
01-08-2024
Huanbo Sun becomes Assistant Professor in Peking University
Test Abstract
Autonomous Learning
News
20-04-2023
Albane Ruaud selected to join the 72nd Lindau Nobel Laureate Meeting
The postdoctoral researcher from the Autonomous Learning Group at the Max Planck Institute for Intelligent Systems in Tübingen is one of 635 young scientists from across the world who are given the opportunity to participate in a week of scientific exchange with some of the world’s greatest minds.
Albane Ruaud
Autonomous Learning
Appointment
01-04-2023
Georg Martius is appointed W3 professor at the University of Tübingen
Autonomous Learning
News
26-07-2022
Georg Martius receives ERC Consolidator Grant
Autonomous Learning research group at the MPI-IS in Tübingen is awarded € 2 million for a period of 5 years.
Georg Martius
Autonomous Learning
Haptic Intelligence
News
24-02-2022
Fingertip sensitivity for robots
Striving to improve touch sensing in robotics, scientists developed a thumb-shaped sensor with a camera hidden inside and trained a deep neural network to infer its haptic contact information. When something touches the finger, the system constructs a three-dimensional force map from the visible deformations of its flexible outer shell. This research invention significantly improves a robot finger’s haptic perception, coming ever closer to the sense of touch of human skin.
Huanbo Sun
Georg Martius
Katherine J. Kuchenbecker
Autonomous Learning
News
05-05-2021
Machine learning dynamics of quantum systems
Researchers at the University of Tübingen and MPI-IS have applied machine learning methods to understand the quantum dynamics in physical models.
Georg Martius
Dominik Zietlow
Autonomous Learning
News
15-01-2021
Two Publications Accepted at ICLR 2021
Our papers "Extracting Strong Policies for Robotics Tasks from Zero-order Trajectory Optimizers" and "Self-supervised Visual Reinforcement Learning with Object-centric Representations" got acceped to ICLR 2021.
Cristina Pinneri
Shambhuraj Sawant
Sebastian Blaes
Andrii Zadaianchuk
Maximilian Seitzer
Georg Martius
Autonomous Learning
News
15-06-2020
CVPR Oral Now Online
We just uploaded our presentations for our CVPR paper "Optimizing Rank-based Metrics with Blackbox Differentiation" to YouTube.
Michal Rolinek
Anselm Paulus
Marin Vlastelica Pogancic
Georg Martius
Autonomous Vision
Autonomous Learning
Dynamic Locomotion
Intelligent Control Systems
News
29-04-2020
MPI for Intelligent Systems continues video series
Video No 4 is now available
Short films present scientists' research projects in an understandable way
Alejandro Posada
Andreas Geiger
Alexander Badri-Spröwitz
Georg Martius
Sebastian Trimpe
Autonomous Learning
News
01-02-2020
Accepted Paper at CVPR
Our paper on optimizing rank-based metrics with blackbox differentiation received flawless reviews and got accepted at CVPR 2020
Michal Rolinek
Anselm Paulus
Marin Vlastelica Pogancic
Georg Martius
Autonomous Learning
News
20-12-2019
Perfect Review-Scores for our ICLR Submission
Our paper "Differentiation of Blackbox Combinatorial Solvers" received perfect review-scores for ICLR 2020!
Marin Vlastelica Pogancic
Anselm Paulus
Georg Martius
Michal Rolinek
Autonomous Learning
News
12-12-2019
Two posters at NeurIPS
We presented two posters at NeurIPS: "Control What You Can" and "Differentiation of Blackbox Combinatorial Solvers"
Sebastian Blaes
Marin Vlastelica Pogancic
Michal Rolinek
Georg Martius
Autonomous Learning
News
10-07-2019
Article published in Frontiers in Neurorobotics
Huanbo's paper 'Machine Learning for Haptics: Inferring Multi-Contact Stimulation From Sparse Sensor Configuration' was successfully published!
Huanbo Sun
Georg Martius
Autonomous Learning
News
12-03-2019
CVPR 2019 Paper Accepted
Our paper 'Variational Autoencoders Recover PCA Directions (by Accident)' got accepted at CVPR 2019! We are looking forward to present it as a poster in June at Long Beach!
The paper elaborates on the close connection between Variational Autoencoders and the well known PCA algorithm in terms of their alignment of the latent space.
Michal Rolinek
Dominik Zietlow
Georg Martius
Autonomous Learning
News
11-02-2019
Winners of the final RL Course Competition
Congratulations to Team SSP for winning the final Reinforcement Learning course competition with their SAC (Soft Actor Critic) agent.
Sebastian Blaes
Jia-Jie Zhu
Georg Martius
Autonomous Learning
News
04-12-2018
Poster @ NeurIPS 2018
presentation of our L4 Paper
We had a busy 2h poster presentation with many interested visitors
Autonomous Learning
News
13-07-2018
First machine learning method capable of accurate extrapolation
Scientists develop new machine learning method that can make robots safer -
New method provides simpler and more intuitive models of physical situations
Understanding how a robot will react under different conditions is essential to guaranteeing its safe operation. But how do you know what will break a robot without actually damaging it? A new method developed by scientists at the Institute of Science and Technology Austria and the Max Planck Institute for Intelligent Systems is the first machine learning method that can use observations made under safe conditions to make accurate predictions for all possible conditions governed by the same physical dynamics. Especially designed for real-life situations, their method provides simple, interpretable descriptions of the underlying physics. The researchers will present their findings tomorrow at this year’s prestigious International Conference for Machine Learning (ICML).
Georg Martius
Autonomous Learning
News
27-06-2018
Jia-Jie Zhu receives the Marie Curie Individual Fellowship
A prestigious junior scientist fellowship is awarded to the MPI-IS researcher
Jia-Jie Zhu
Georg Martius
Autonomous Learning
News
21-06-2018
ICML 2018 paper accepted
Our Paper "Learning Equations for Extrapolation and Control" got
excepted at ICML 2018! We are looking forward to present and discuss in
Stockholm in July 10-15, 2018.
Georg Martius
Autonomous Learning
News
19-06-2018
CVPR Honorable Mention
The paper 'Efficient Optimization for Rank-based Loss Functions', on which Michal Rolinek was contributing to, received the CVPR Honorable Mention award.
Michal Rolinek
Autonomous Learning
News
01-05-2018
ALIFE 2018 paper accepted
Our paper 'Systematic self-exploration of behaviors for robots in a dynamical systems framework' was accepted for ALIFE 2018 and will be presented in Tokyo, July 2018.
Cristina Pinneri
Georg Martius