Ildar Kagirov

About

Ildar Kagirov is a leading researcher in human-robot interaction, specializing in multimodal interfaces that bridge communication gaps for assistive and medical robotics. His work centers on developing intelligent systems that integrate voice, gesture, and sign language recognition to make robots more accessible and intuitive. Kagirov’s most impactful contribution is the Assistive Mobile Information Robot (AMIR), a smart shopping cart prototype that uses Russian speech and sign language recognition, detailed in his 33-citation paper. He further advanced this concept with a smart trolley system featuring multimodal input, including touchscreens and sign language, which has garnered 17 citations. Kagirov also pioneers control systems for lower-limb exoskeletons, notably the “Remotion” medical exoskeleton, and has developed robust methods for machine sign language translation using spatiotemporal visual features. His work on gesture control for collaborative robots highlights the ergonomic benefits of non-verbal interfaces. With a portfolio spanning assistive shopping, rehabilitation exoskeletons, and industrial cobots, Kagirov’s research is pivotal in creating inclusive, natural human-machine interactions that empower users with diverse abilities.

Research Focus

Key Achievements

Top Papers

1. 1
   A Multimodal User Interface for an Assistive Robotic Shopping Cart

   33 citations · 2020
2. 2
   Human-Robot Interaction with Smart Shopping Trolley Using Sign Language: Data Collection

   17 citations · 2019
3. 3
   Lower Limbs Exoskeleton Control System Based on Intelligent Human-Machine Interface

   6 citations · 2019
4. 4
   A method of multimodal machine sign language translation for natural human-computer interaction

   4 citations · 2022
5. 5
   Gesture control of collaborative robot

   2 citations · 2019
6. 6
   INTELLECTUAL INTERFACE TO CONTROL A ROBOTIC MEDICAL EXOSKELETON OF THE LOWER LIMBS «REMOTION»

   2 citations · 2019

Key Collaborators

Contact & Links