Mohsen Kaboli

About

Mohsen Kaboli is a pioneering researcher at the intersection of tactile sensing, neuromorphic computing, and intelligent robotics, whose work has fundamentally advanced how robots perceive and interact with the physical world. His most celebrated contribution, "A Review of Tactile Information: Perception and Action Through Touch" (2020, 312 citations), established a comprehensive framework for understanding tactile sensing as a critical modality in robotic systems. Complementing this, his highly cited work on neuro-inspired electronic skin (2022, 276 citations) and electronic skin materials (2015, 181 citations) has shaped the development of flexible, biologically inspired sensors that enable machines to feel and respond to their environments with unprecedented sophistication. Kaboli's research extends into neuromorphic computing architectures for robotics (2022, 121 citations) and intelligent in-vehicle interaction technologies (2021, 169 citations), demonstrating a breadth that bridges hardware innovation with real-world applications including autonomous vehicles. His earlier foundational contributions — including novel tactile descriptors for object discrimination and probabilistic frameworks for active object learning — showed how robots could autonomously explore unknown environments through touch alone. Across more than a decade of research, Kaboli has amassed over 1,200 citations, cementing his reputation as a leading voice in embodied robot intelligence and sensorimotor integration.

Research Focus

Key Achievements

Top Papers

1. 1
   A Review of Tactile Information: Perception and Action Through Touch

   312 citations · 2020
2. 2
   Neuro-inspired electronic skin for robots

   276 citations · 2022
3. 3
   New materials and advances in making electronic skin for interactive robots

   181 citations · 2015
4. 4
   Intelligent In‐Vehicle Interaction Technologies

   169 citations · 2021
5. 5
   Neuromorphic computing hardware and neural architectures for robotics

   121 citations · 2022
6. 6
   Robust Tactile Descriptors for Discriminating Objects From Textural Properties via Artificial Robotic Skin

   97 citations · 2018
7. 7
   Tactile-based manipulation of deformable objects with dynamic center of mass

   83 citations · 2016
8. 8
   Tactile-based active object discrimination and target object search in an unknown workspace

   75 citations · 2018
9. 9
   A Tactile-Based Framework for Active Object Learning and Discrimination using Multimodal Robotic Skin

   63 citations · 2017
10. 10
    In-hand object recognition via texture properties with robotic hands, artificial skin, and novel tactile descriptors

    57 citations · 2015

Key Collaborators

Contact & Links