Personal profile
Research profile
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 & Cognitve Vehicel 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 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 oustasting student award ( winner) 2022, IEEE ROSE oustanding paper award (winner) 2024.
Link to RoboTac Lab
Education/Academic qualification
Electrical engineering, Doctor, Robotics & Artificial Intelligence, Technische Universität München
Award Date: 12 Dec 2017
Technology, Doctor, Signal Processing and Machine Learning, Royal Institute of Technology
Award Date: 1 Sept 2011
External positions
PI & Head of AI, Robotic Research, Cognitive Vehicle at BMW Group, Center of Invention
2019 → …
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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Shared visuo-tactile interactive perception for robust object pose estimation
Murali, P. K., Porr, B. & Kaboli, M. (Corresponding author), Jun 2025, In: International journal of robotics research. 44, 7, p. 1186-1216 31 p., 7.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile4 Link opens in a new tab Citations (Scopus)37 Downloads (Pure) -
Predictive Visuo-Tactile Interactive Perception Framework for Object Properties Inference
Dutta, A., Burdet, E. & Kaboli, M., 13 Nov 2024, arXiv.org, 21 p.Research output: Working paper › Preprint › Academic
Open AccessFile27 Downloads (Pure) -
Robust Tactile Descriptors for Discriminating Objects From Textural Properties via Artificial Robotic Skin
Kaboli, M. (Corresponding author) & Cheng, G., Aug 2018, In: IEEE Transactions on Robotics. 34, 4, p. 985-1003 19 p., 8405546.Research output: Contribution to journal › Article › Academic › peer-review
85 Link opens in a new tab Citations (Scopus) -
Tactile-based active object discrimination and target object search in an unknown workspace
Kaboli, M., Yao, K., Feng, D. & Cheng, G., 31 Jan 2019, In: Autonomous Robots. 43, 1, p. 123-152 30 p.Research output: Contribution to journal › Article › Academic › peer-review
57 Link opens in a new tab Citations (Scopus) -
Tactile-based manipulation of deformable objects with dynamic center of mass
Kaboli, M., Yao, K. & Cheng, G., 2 Jan 2017, 2016 IEEE-RAS 16th International Conference on Humanoid Robots, Humanoids 2016. Institute of Electrical and Electronics Engineers, p. 752-757 6 p. 7803358Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
75 Link opens in a new tab Citations (Scopus)