Kiyanoush Nazari

About

Kiyanoush Nazari is a leading researcher at the intersection of tactile sensing, robotic manipulation, and human-robot interaction. His work centers on endowing robots with a sense of touch, enabling them to perform dexterous tasks that were previously impossible. Nazari’s major contributions include pioneering the use of tactile prediction for slip avoidance and object manipulation, as demonstrated in his highly cited work on “Action Conditioned Tactile Prediction” and “Deep Functional Predictive Control.” He has also advanced the field of medical robotics, developing a “Deep Movement Primitives” framework for autonomous breast cancer examination robots. His comprehensive review, “Tactile-Sensing Technologies: Trends, Challenges and Outlook in Agri-Food Manipulation,” has garnered 65 citations, establishing him as a thought leader in the domain. Beyond manipulation, Nazari has innovated in sensor design with the “Acoustic Soft Tactile Skin (AST Skin),” a novel technology that uses sound waves for tactile sensing. His work on haptic-guided shared control for teleoperation and bioinspired slip control further showcases his ability to translate biological principles into robust robotic systems. With over 140 citations across his most influential papers, Nazari’s research is shaping the future of physically interactive robots, from agriculture to healthcare.

Research Focus

Key Achievements

Top Papers

1. 1
   Tactile-Sensing Technologies: Trends, Challenges and Outlook in Agri-Food Manipulation

   65 citations · 2023
2. 2
   Action Conditioned Tactile Prediction: case study on slip prediction

   15 citations · 2022
3. 3
   Deep Movement Primitives: Toward Breast Cancer Examination Robot

   14 citations · 2022
4. 4
   Haptic-guided shared control grasping: collision-free manipulation

   12 citations · 2020
5. 5
   Deep Functional Predictive Control (deep-FPC): Robot Pushing 3-D Cluster Using Tactile Prediction

   9 citations · 2023
6. 6
   Bioinspired trajectory modulation for effective slip control in robot manipulation

   7 citations · 2025
7. 7
   Tactile Dynamic Behaviour Prediction Based on Robot Action

   5 citations · 2021
8. 8
   Robust Adaptive Bilateral Control of Teleoperation Systems with Uncertain Parameters and Unmodeled Dynamics

   5 citations · 2017
9. 9
   Deep-LfD: Deep robot learning from demonstrations

   4 citations · 2021
10. 10
    Acoustic Soft Tactile Skin (AST Skin)

    4 citations · 2024

Key Collaborators

Contact & Links