Dr. -Ing. Mohsen Kaboli
Assistant Professor of AI & Robotics
Head of RoboTac Team & BMW AI Lab
Dr. Mohsen Kaboli is an Assistant Professor and lead for Robotics, AI, and Tactile Intelligence at BMW Group in Germany and the Donders Institute for Brain and Cognition at Radboud University in the Netherlands since September 2018. He is the director and principal investigator of the Robotic and Tactile Intelligence Group Lab (RoboTac), and his research interests lie at the intersection of robotics, interactive perception, machine learning, and control, applied to problems in mobile robotics, robotic grasping and manipulation, and human-robot interaction and collaboration.
Dr. Kaboli is a principal investigator of several European-funded research projects, such as INTUITIVE (Tactile User Interface), iNavigate (Brain Inspired Perception for Navigation and Mobility), SmartNets, and others. Previously, he was a group leader of tactile robotics and a postdoctoral research fellow at the Institute for Advanced Studies (IAS) at the Technical University of Munich (TUM), Germany, from September 2017 to August 2018. He received his Ph.D. degree with the highest distinction (summa cum laude) in robotics, focusing on tactile perception and learning in robotics, from TUM in 2017. He was awarded the best European Ph.D. thesis prize in robotics, Georges Giralt Ph.D. Award (finalist).
Dr. Kaboli is the inventor/co-inventor of approximately 20 patents and the author of approximately 40 journals, proceedings, and editorials. His research over the past 10 years has bridged several research domains, with the most important ones being tactile intelligence, AI, and robotics. This has also been acknowledged by the IEEE, as he was named an IEEE Senior Member in 2018 for his "contributions in AI and Robotics."
Research Interests
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Artificial Intelligence
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Robotics
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Tactile Intelligence
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Cros-Modal multi-modal interactive perception
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Cognitive Systems
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Grasp and Object Manipulation
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Transfer Learning
Awards
Research Projects, Grants & Awards
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2019 - Principle Investigator of EU-ITN Marie Curie, Interactive Tactile User Interface (INTUITIVE), 256,000 € More information
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2019 - Principle Investigator of EU Marie Curie, Brain-inspired technologies for intelligent navigation and mobility More information
Selected Publications
2023
MCR: Graph-based Maximum Consensus Estimation for Point Cloud Registration
Michael Gentner, Prajval Kumar Murali, and Mohsen Kaboli
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