Nader Sadegh

About

Nader Sadegh is a prominent robotics and control systems researcher whose career has been defined by foundational contributions to adaptive and repetitive control of robotic manipulators. His most influential work, conducted largely in the late 1980s and early 1990s, established rigorous theoretical frameworks for ensuring stability and robustness in adaptive controllers — research that has accumulated over 500 citations and remains a cornerstone reference in the field. Drawing on Lyapunov theory and the passivity properties of manipulator dynamics, Sadegh developed unified approaches to designing controllers that guarantee asymptotic trajectory tracking, while also pioneering exponentially stable adaptive control laws that leverage desired trajectory information for computational efficiency. His repetitive control work extended these principles to periodic tasks, including Cartesian-space trajectory descriptions, bridging theory and practical implementation on real manipulator hardware. In more recent years, Sadegh has broadened his scope to address modern robotics challenges, exploring deep learning-based autonomous grasping through visual servoing and, notably, advancing safety-critical control through innovative barrier state methodologies embedded within differential dynamic programming frameworks. Across more than three decades, his work reflects a sustained commitment to making robotic systems both theoretically sound and practically deployable.

Research Focus

Key Achievements

Top Papers

1. 1
   Stability and Robustness Analysis of a Class of Adaptive Controllers for Robotic Manipulators

   507 citations · 1990
2. 2
   Stability analysis of an adaptive controller for robotic manipulators

   159 citations · 2005
3. 3
   A Unified Approach to the Design of Adaptive and Repetitive Controllers for Robotic Manipulators

   143 citations · 1990
4. 4
   An exponentially stable adaptive control law for robot manipulators

   84 citations · 1990
5. 5
   Autonomous Leaf Picking Using Deep Learning and Visual-Servoing

   40 citations · 2016
6. 6
   Design and implementation of adaptive and repetitive controllers for mechanical manipulators

   38 citations · 1992
7. 7
   Safety Embedded Differential Dynamic Programming Using Discrete Barrier States

   31 citations · 2022
8. 8
   Safety Embedded Control of Nonlinear Systems via Barrier States

   24 citations · 2021
9. 9
   Theory and Implementation of a Repetitive Robot Controller With Cartesian Trajectory Description

   20 citations · 1996
10. 10
    Digital implementation of repetitive controllers for robotic manipulators

    18 citations · 2003

Key Collaborators

Contact & Links