Welcome to the website of the Learning, Adaptive Systems and Robotics (LASR) Lab, which is part of the Institute of Artificial Intelligence, at the Faculty of Computer Science of the Technische Universität Dresden.
Our research focus on the conjunction of Machine Learning and Robotics, with the ultimate goal of making robots (and other artificial agents) more useful in real-world applications, for the benefit of society.
Active research topics include, but are not limited to:
- Decision-making under uncertainty
- Model-based and Hierarchical Reinforcement learning
- Bayesian optimization
- Robot Learning
- Model-based control
- Robot manipulation
- Touch sensing and Processing
NEWS
- Published a new journal "NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation" on Science Robotics
- We open-sourced our new Digit360 sensor. Paper, files and more information at https://digit.ml/
- Published a new journal "Using Fiber Optic Bundles to Miniaturize Vision-Based Tactile Sensors" on IEEE Transactions on Robotics (TRO)
- Published a new journal "Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation" on IEEE Transactions on Robotics (TRO)
- Roberto Calandra was hosted at the Digital Pacemaker Podcast to discuss new breakthroughs in robotics and touch sensing.
- LASR is organizing the first Touch Sensing and Processing Summer School (TSPSS) on 2-6 September 2024 in Dresden. For more information and to apply, visit https://lasr.org/tspss2024
- Roberto Calandra has been awarded the IEEE Early Academic Career Award in Robotics and Automation during ICRA 2024 in Yokohama.