Prof. Dr. Mohsen Kaboli
PI & Director
Dr. Mohsen Kaboli is a professor of Embodied AI, Robotics, and Tactile Intelligence at Eindhoven University of Technology (TU/e) in the Netherlands. He is the head of Embodied Interactive Perception & Robot Learning Lab (RoboTac). Additionally, he is the head of AI, Robotics & Cognitive Vehicle research lab at BMW Group, Center of Invention in Munich, Germany, a role he has held since 2018. Previously, Dr. Kaboli held the position of assistant professor at the Institute for Brain and Cognition at Radboud University in the Netherlands from 2019 to 2022. He was a group leader of tactile robotic and postdoctoral research fellow at the Institute for Advanced Studies (IAS), the Technical University of Munich (TUM), Germany from September 2017 till August 2018. He received his Ph.D. degree with the highest distinction (summa cum laude) in robotics focusing on interactive tactile perception and learning in robotics from TUM in 2017. He was awarded the best European Ph.D. thesis prize in tactile robotics, Georges Giralt Ph.D. Award (finalist).
Dr. Kaboli’s research interests lie at the intersection of Embodied Robotics, Visuo-Tactile Interactive Perception, Machine Learning, and Control, with applications ranging from Mobile Robotics to Robotic Grasping and Manipulation, and Human-Robot Interaction and Collaboration. Dr. Kaboli has played a pivotal role as a principal investigator in numerous European-funded research projects, including PHASTRAC (Oscillatory Neural Network-based Efficient AI Edge Computing), INTUITIVE (Tactile User Interface), iNavigate (Brain-Inspired Perception for Navigation and Mobility), and SmartNets, among others.
Dr. Kaboli is the inventor or co-inventor of nearly 20 patents and has authored approximately 40 journal papers, conference proceedings, and editorials. He also serves as an Editor and Associate Editor for several leading journals and conferences, including IEEE ICRA, IROS, R-AL, T-RO, & IJRR. His research over the past 15 years has been bridging several research domains, the most important ones being tactile intelligence, AI, and robotics. This also been acknowledged by the IEEE, when being named IEEE Senior Member in 2018 for his contributions in AI and Robotics. Dr. Kaboli and his team research have been awarded several awards, IEEE ICRA outstanding paper award in perception (finalist) ICRA 2023, IEEE FLEPS outstanding student award (winner) 2022, IEEE ROSE outstanding paper award (winner) 2024.
Research Interests
Artificial Intelligence
Robotics & RoboT Learning
Tactile Intelligence
Cognitive Systems
Visuo-Tactile based
Grasp and Object Manipulation
Visuo-Tactile Transfer Learning and Cross Modal Perception
Intelligent Human Vehicle Iteration
Cognitive Vehicles
AI Enabled Intelligent Interactive Interior of Vehicles
Awards
2023 IEEE ICRA Outstanding Paper Award ( Sensor & Perception, finalist)
2022 IEEE FLEPS Best Paper Award
2019 Asst. Professor Position & PI at Donders Institute of Brain and Cognition, Radboud University
2019 Elevated to IEEE Senior Member
2018 Hans Fischer Postdoctoral Fellowship
2018 The Best European PhD award in AI and Robotics (Georges Giralt PhD Award), Finalist
2015 Educational grant for Humanoid RoboCup Team at TUM (Founder of RoboCup Team)
2014 Travel Grants to attend conferences (IEEE Humanoid and ICRA Conferences)
2013 Marie Curie EuropeanDoctoral Fellowship
2011 Research Scholarship Swiss National Foundation (SNF)
Selected Publications
2023
MCR: Graph-based Maximum Consensus Estimation for Point Cloud Registration
Michael Gentner, Prajval Kumar Murali, and Mohsen Kaboli
IEEE International Conference on Robotics and Automation (ICRA), Outstanding Paper award (finalist), 2023
Push to Know! Active Visuo-Tactile Object Inference & Learning
Anirvan Dutta, Etienne Burdet, Mohsen Kaboli
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
Touch If it’s Transparent! Active Tactile-based Category Level Object Reconstruction
Prajval Kumar Murali, Bernd Porr, Mohsen Kaboli
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
2022
Neuromorphic computing hardware and cognitive architectures: missing elements for smarter robots?
Yulia Sandamirskaya, Mohsen Kaboli, J. Conradt, T. Celikel
Science Robotics, 2022
Neuro-inspired Electronic Skin for Robots
F. Liu, S. Deswal, Yulia. Sandamirskaya, Mohsen Kaboli, Ravinder Dahiya,
Science Robotics , 2022
P. Murali, A. Dutta, M. Gentner, E. Burdet, R. Dahiya, Mohsen Kaboli
Active Visuo-Tactile Interactive Robotic Perception for Accurate Object Pose Estimation in Dense Clutter
IEEE Robotics and Automation Letters, 2022, 10.1109/LRA.2022.3150045
P. Murali, C. Wang, D. Lee, R. Dahiya, Mohsen Kaboli
Deep Active Cross-Modal Visuo-Tactile Transfer Learning for Robotic Object Recognition
IEEE Robotics and Automation Letters, 2022
M. Gentner, P. Murali, S. Guennemann, Mohsen Kaboli
Fitting Graphs: A Novel General Graph-theoretic Approach for Robust Point Cloud
Registration, IEEE Robotics and Automation Letters, 2022
2021
Prajval Murali, Michael Gentner, Mohsen Kaboli
Active Visio-Tactile Point Cloud Registration for Accurate Pose Estimation of Objects in an Unknown Workspace
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
Prajval Murali, Mohsen Kaboli
On the Empirical Evaluation of Information Gain Criteria for Active Action Selection
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
Prajval Murali, Ravinder Dahiya , Mohsen Kaboli
Intelligent In‐Vehicle Interaction Technologies
Journal of Advanced Intelligent Systems, 2021, Wiely
2020
Qiang Li, Oliver Kroemer, Zhe Su, Filipe Veiga, Mohsen Kaboli
A Review of Tactile Information:Perception and Action Through Touch
IEEE Transactions on Robotics (TRO), 36 (6), 2020
Ahmet Burakhan Koyuncu, Emec Ercelik, Eduard Comulada-Simpson, Joost Venrooij, Mohsen Kaboli
A novel approach to neural network-based motion cueing algorithm for a driving simulator" IEEE Intelligent Vehicles Symposium (IV), 2020, Oral presentation.
Maike Hartstern, Viktor Rack, Mohsen Kaboli
Simulation-based Evaluation of Automotive Sensor Setups for Environmental Perception in Early Development Stages" IEEE Intelligent Vehicles Symposium (IV), 2020, Oral presentation.
2019
Mohsen Kaboli, Gordon Cheng
Robust Tactile Descriptors for Discriminating Objects from Textural Properties via Artificial Robotic Skin" IEEE Transactions on Robotics (TRO), 1-19, 2019, Doi 10.1109/TRO.2018.2830364
Mohsen Kaboli, Kunpeng Yao, Di Feng, Gordon Cheng
Tactile-based Active Object Learning and Discrimination in an Unknown Workspace
Autonomous Robots Journal, 42 (3), 1573-7527, 2019
2018
Mohsen Kaboli, Di Feng, Gordon Cheng
Active Tactile Transfer Learning for Object Discrimination in an Unstructured Environment using
Multimodal Robotic Skin" International Journal of Humanoid Robotics (IJHR), 15(1), 2018
Mohsen Kaboli, Di Feng, Gordon Cheng
Active Prior Tactile Knowledge Transfer for Learning Tactual Properties of New Objects" Sensors
Journal, 18 (2), 634, 2018
2017
Mohsen Kaboli, Di Feng, Kunpeng Yao, Pablo Lanillos, Gordon Cheng
A Tactile-based Framework for Active Object Learning and Discrimination using Multi-modal Robotic Skin" IEEE Robotics and Automation Letters 2(4), pp.2143-2150, 2017
Mohsen Kaboli, Di Feng, Kunpeng Yao, Pablo Lanillos, and Gordon Cheng
A Tactile-based Framework for Active Object Learning and Discrimination using Multi-modal Robotic Skin" IEEE International Conference on Intelligent Robots and Systems (IROS), 2017, Oral presentation.
Yao Kunpeng, Mohsen Kaboli*, Gordon Cheng
Tactile-based Object Center of Mass Exploration and Discrimination"
IEEE International Conference on Humanoids Robot (Humanoids), accepted, 2017
* Mohsen Kaboli is the corresponding Author, Oral presentation.
2016
Mohsen Kaboli, Rich Walker, Gordon Cheng
Re-using prior tactile experience by robotic hands to discriminate in-hand objects via texture properties" IEEE International Conference on Robotics and Automation (ICRA), pp. 2242-2247, 2016, Oral presentation.
Mohsen Kaboli, Kunpeng Yao, Gordon Cheng
Tactile-based manipulation of deformable objects with dynamic center of mass" IEEE-RAS International Conference on Humanoid Robots (Humanoids), pp. 752-757, 2016, Oral presentation.
https://www.youtube.com/watch?v=07N0olaBDDY
2015
Mohsen Kaboli, Gordon Cheng
Dexterous Hands Learn to Re-Use the Past Experience to Discriminate In-Hand Objects From The Surface Textures" 33rd Annual Conference of the Robotics Society of Japan, 2015, Oral presentation.
Mohsen Kaboli, Armando T De La Rosa, Rich Walker, Gordon Cheng
In-hand object recognition via texture properties with robotic hands, artificial skin, and novel tactile descriptors" IEEE-RAS International Conference on Humanoid Robots, pp.1155-1160, 2015,
Oral presentation.
Mohsen Kaboli, Alex Long, Gordon Cheng
Humanoids learn touch modalities identi_cation via multi-modal robotic skin and robust tactile
descriptors" Advanced Robotics Journal, pub. Taylor & Francis, vol. 29, pp. 1411-1425, 2015
Nivasan Yogeswaran, Wenting Dang, Mohsen Kaboli, Gordon Cheng, Ravinder Dahiya
New materials and advances in making electronic skin for interactive robots
Advanced Robotics Journal, pub. Taylor & Francis, vol. 29, pp. 1359-1373, 2015
2014
Mohsen Kaboli, Philipp Mittendorfer, Vincent Hugel, Gordon Cheng
Humanoids learn object properties from robust tactile feature descriptors via multi-modal artificial skin" IEEE-RAS International Conference on Humanoid Robots, pp.187-192, 2014