AI Robotics & Tactile Intelligence
At RoboTac, a highly collaborative Research Lab. We seek to understand the underlying principles of active cross-multi-modal interactive perception, learning, and decision-making in intelligent autonomous systems by inspiring humans and biological systems.
Our work is at the intersection of Artificial Intelligence, Machine Learning, Robotics, and Tactile Intelligence applied to problems in Autonomous Robots, Cognitive Vehicles, and Human-Robot/Machine Interaction and collaboration.
One of the major focuses of RoboTac is to enable robotic systems and intelligent vehicles with the sense of touch to understand the physical properties of the environment and to interact with objects and humans intuitively and safely.
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News & upcoming
We are organising an international research school on "Unlocking the Mechanics of Biomimetic Touch for Applications in Robotics, Prosthetics, and Industrial Haptics" within our EU funded Marie Curie project, INTUTIVE. The research school takes place in Grand Hotel Excelsior, Malta17th - 23rd April 2023
Please check the link below for more information and to find our how to participate.
Congratulation to RoboTac team, Michael Gentner (former master student) and Dr. Mohsen Kaboli. Their paper got accepted at IEEE International Conference on Robotics and Automation (ICRA) 2023, London, UK , 29th May-2nd Jun 2023
GMCR: Graph-based Maximum Consensus Estimation for Point Cloud Registration
Michael Gentner, Prajval Murali, Mohsen Kaboli
We are organising our 4th International IEEE Workshop at IROS2023. October 23rd, Kyoto Japan.
RoboTac2022: Visuo-Tactile Predictive Coding and Active Inference for Grasp and Manipulation
New Advances in Tactile Sensation, Interactive Perception, and Learning
Prajval Kumar Murali presents our article " Deep Active Cross-Modal Visuo-Tactile Transfer Learning or Robotic Object Recognition " at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)
Deep Active Cross-Modal Visuo-Tactile Transfer Learning for Robotic Object Recognition
Prajval Kumar Murali, Cong Wang, Dongheui Lee, Ravinder Dahiya, and Mohsen Kaboli
Dr. Mohsen Kaboli will give a keynote talk at the International Research School on Technology of Touch in Genova, Italy , 26th -30th September.
Dr. Mohsen Kaboli will serve the IEEE/RAS ICRA 2023 as an Associate Editor of Robot Learning The ICRA 2023 (IEEE International Conference on Robotics and Automation) will take place in London, UK from 29 May- 2 Jun 2023, in London, UK.
Outstanding paper awards at IEEE FLEPS 2022!
Congratulations RoboTac winns the Outstanding Student Paper Award during IEEE FLEPS 2022 for our paper entitled "An empirical evaluation of various information gain criteria for active tactile action selection for pose estimation". by Prajval Murali, Ravinder Dahyia, Mohsen Kaboli
Two articles published in Science Robotics
Congratulations to Mohsen Kaboli and collaborators, Yulia Sandamirskaya (Intel), Jorg Conradt (KTH) and Tansu Celikel (Georgia Tech). Their article with the title "Neuromorphic computing hardware and neural architectures for robotics" published in science robotics. Link to the article
Congratulations to Mohsen Kaboli and collaborators, Yulia Sandamirskaya (Intel), Ravinder Dahiya, Fengyuan Liu, Sweety Deswal and Adamos Christou (University of Glasgow) , Their article with the title "Neuro-inspired electronic skin for robots" was published in science robotics.