Master Thesis: Discovering neural parts in objects with invertible NNs for robot grasping

In this thesis, we will investigate the use of 3D primitive representations in objects using Invertible Neural Networks (INNs). Through INNs we can learn the implicit surface function of the objects and their mesh. Apart from  extracting the object’s shape, we can parse the object into semantically interpretable parts. In our work our main focusContinue reading “Master Thesis: Discovering neural parts in objects with invertible NNs for robot grasping”

Talk @ UofT on accelerating Robot Skill Learning

My talk on “Accelerating Robot Skill Learning with Demonstrations and Models”, that I gave a few days ago at the AI in Robotics Seminar at the University of Toronto is now available online. In this talk I go through our recent works “Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills” and “Model Predictive Actor-Critic: AcceleratingContinue reading “Talk @ UofT on accelerating Robot Skill Learning”

hessian.AI Connectom fund

iROSA research group has received the hessian.AI Connectom fund, which promotes interdisciplinary research in the hessian.AI ecosystem. This grant will allow researches from iROSA to work along researches from the Ubiquitous Knowledge Processing lab, led Prof. Dr. Gurevych. Our project will investigate synergies between Robot Learning and Natural Language Processing towards Learning Long-Horizon Tasks byContinue reading “hessian.AI Connectom fund”

AI Newcomer 2021

AI Newcomer 2021 of the category technical and engineering science is Dr. Georgia Chalvatzaki! “AI advances robotic research for developing intelligent agents that interact safely and assist humans” – Georgia Chalvatzaki Article in German by TU Darmstadt press news: https://www.tu-darmstadt.de/universitaet/aktuelles_meldungen/einzelansicht_313024.de.jsp KICamp21 @GeorgiaChal https://t.co/8loRXjRlCn

Master Thesis/Job@DLR: Cross-platform Benchmark of Robot Grasp Planning

Grasp planning is one of the most challenging tasks in robot manipulation. Apart from perception ambiguity, the grasp robustness and the successful execution rely heavily on the dynamics of the robotic hands. The student is expected to research and develop benchmarking environments and evaluation metrics for grasp planning. The development in simulation environments as ISAACContinue reading “Master Thesis/Job@DLR: Cross-platform Benchmark of Robot Grasp Planning”

3 papers accepted to ICRA 2021!

Three papers got accepted in ICRA2021, whose topics will be directly extended in the context of the iROSA project. Accepted papers: Tosatto, S.; Chalvatzaki, G.; Peters, J. (2021). Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).   See Details BibTeX Reference Li, Q.; Chalvatzaki, G.; Peters, J.;Continue reading “3 papers accepted to ICRA 2021!”

Job Post: Ph.D. Student Position @ iROSA

The newly founded Intelligent Robotics for Assistance (iROSA) group, led by Dr. Georgia Chalvatzaki, in cooperation with the Intelligent Autonomous Systems Lab (IAS) at the Technical University of Darmstadt (TU Darmstadt)  is seeking a Ph.D. student with a strong interest in the following research topic:  Robot Learning Task and Motion Planning of Long-horizon (mobile) manipulationContinue reading “Job Post: Ph.D. Student Position @ iROSA”

Research talk at the Robot Learning Seminar Series of REAL/MILA

Talk about my research on robot learning for intelligent assistance at the Robot Learning Seminar Series of the Robotics and Embodied AI Lab and Mila, streamed on YouTube. Abstract: Societal facts like the increase in life expectancy, the lack of nursing staff, the hectic rhythms of everyday life, and the recent unprecedented situation of the Covid-19 pandemic, make theContinue reading “Research talk at the Robot Learning Seminar Series of REAL/MILA”