We are currently actively looking for:
See more info: https://irosalab.com/open-positions/
Applications are accepted only through the form in this link.
Our policy is first-come first-served!
We got a @HorizonEU proposal accepted on Advancing the physical intelligence and performance of robots towards human-like bi-manual objects manipulation! Along with a great consortium from Greece, Germany, Italy, Poland, Austria, UK!
More Ph.D. positions open soon!
We had three papers accepted at ICRA2023
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion, by Julen Urain De Jesus, Niklas Wilhelm Funk, Jan Peters, Georgia Chalvatzaki
Safe reinforcement learning of dynamic high-dimensional robotic tasks: navigation, manipulation, interaction, by Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki
Hierarchical Policy Blending as Inference for Reactive Robot Control, by Kay Hansel, Julen Urain De Jesus, Jan Peters, Georgia Chalvatzaki
Our paper Robot Learning of Mobile Manipulation with Reachability
Behavior Priors has won a best paper award at IROS 2022 in Kyoto:
IROS Best Paper Award on Mobile Manipulation sponsored by
OMRON Sinic X Corp.
You can watch Georgia’s talk at the RSS2022 workshop on Scaling Robot Learning online!
And the very interesting panel discussion with George Konidaris, Aleksandra Faust, Oliver Kroemer and Georgia at:
Georgia will deliver a keynote speech at IROS 2022 in Kyoto, Japan, on the 26th of October at 13:30 JST!
Here are the details of the talk.
Abstract: Future intelligent robotic assistants are expected to perform various tasks in unstructured and human-inhabited environments. These robots should support humans in everyday activities as personal assistants or collaborate with them in work environments like hospitals and warehouses. In this talk, I will briefly describe my research works for robotic assistants to help and support humans in need, developing specific human-robot interaction behaviors combining classical robotics and machine learning approaches. I will then explain how mobile manipulation robots are currently the most promising solution among embodied AI systems, thanks to their body structure and sensorial equipment for learning to execute a series of assistive tasks. On top of this, I will point out some key challenges that hinder autonomous mobile manipulation for intelligent assistance and discuss how structured robot learning can pave the way toward generalizable robot behaviors. Structured robot learning refers to all learning methods at the intersection of classical robotics and machine learning that aim to leverage structure in data and algorithms to scale robot behaviors to complex tasks. Finally, this talk will give insights into how my team and I leverage structured representations, priors, and task descriptions together with learning and planning in some challenging (mobile) manipulation tasks in our path for creating general-purpose intelligent robotic assistants.
Georgia gave a talk for the Carnegie Mellon Robotics Institute Summer Scholars on the topic: The path towards Embodied Robot Intelligence
You can watch the talk on YouTube:
Snehal Jauhri, Ph.D. student at iROSA, got his first paper accepted, entitled “Robot Learning of Mobile Manipulation with Reachability Behavior Priors”, at the RA-Letters and I will also be presented at IROS 2022 in Kyoto, Japan.
Congratulations Snehal!
Check our results in: https://irosalab.com/rlmmbp/
We got 6 papers accepted in #IROS22 at Kyoto! Well done to our students of the Computer Science, TU Darmstadt and our collaborators for this success!
1. “Robot Learning of Mobile Manipulation with Reachability Behavior Priors” by Snehal Jauhri Jan Peters and me accepted to RAL+IROS. Check: https://lnkd.in/esQpVmuV
2. “Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery” by Niklas Wilhelm Funk S. Menzenbach, Jan Peters and me. Check: https://lnkd.in/eNue6X2P
3. “Active Exploration for Robotic Manipulation” by T. Schneider, Boris Belousov, Diego Romeres Devesh Jha Jan Peters and me. Check: https://lnkd.in/ebiH5Z72
4. “Regularized Deep Signed Distance Fields for Reactive Motion Generation” by P. Liu, K. Zhang, D. Tateo, Snehal Jauhri Jan Peters and me. Check: https://lnkd.in/eEDqGGkW
5. “Learning Implicit Priors for Motion Optimization” by Alexander (Sasha) Lambert, An Thai LeJulen Urain de JesusByron BootsJan Peters and me. Check: https://lnkd.in/ebMqV6jD
6. “Monte-Carlo Robot Path Planning” by T. Dan Jan PetersJoni Pajarinen and me. Soon to be on arxiv…
irosalab.com