RoboTac Lab
Embodied AI
Robotics
Tactile Intelligence
About
us
Who We Are
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 inspired by humans and biological systems
Our Goal
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.
Our Work
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
Latest News
Associate Editor, IEEE ICRA 2026
Excited to share that Prof. Mohsen Kaboli will be serving as an Associate Editor (Manipulation & Grasping and Mechanisms, Design, and Control ) for IEEE ICRA 2026! Looking forward to contributing to the review process and engaging with cutting-edge robotics research.
New paper accepted at IEEE Robotics & Automation Letters
We’re excited to share that our paper, “Tacser and Action-Conditioned Latent Filter for Generalizable Robotic Surface Perception” by Anirvan Dutta, Yerkebulan Massalim, Etienne Burdet, Mohsen Kaboli, has been accepted in IEEE Robotics and Automation Letters (RAL), Oct 2025.
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