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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





Prof. Dr. Mohsen Kaboli
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