Marcin Szuster

About

Marcin Szuster is a prominent researcher in robotics, control systems, and intelligent automation, whose work spans robot manipulator control, mobile robotics, and mechatronic systems. His research consistently bridges theoretical foundations with practical implementation, making significant contributions to adaptive and intelligent control methodologies. Szuster's most influential work centers on adaptive position/force control for robot manipulators interacting with flexible environments (71 citations) and neural network-based tracking control for mobile robots, including innovative applications to mecanum-wheeled platforms (43 citations). His extensive work on wheeled mobile robots employs neural dynamic programming and approximate dynamic programming techniques, demonstrating how biologically inspired algorithms can optimize real-time robotic navigation and control. His 2010 contributions to discrete neural dynamic programming and adaptive critic designs (37 and 22 citations, respectively) helped establish foundational approaches in reinforcement learning-based robot control. Beyond manipulation and mobility, Szuster has advanced tool condition monitoring through vibration analysis (53 citations) and explored fuzzy logic and neural network hybrids in robotic machining contexts. His 2017 monograph on intelligent optimal adaptive control for mechatronic systems further consolidated his expertise. With a consistently cited body of work exceeding 300 cumulative citations, Szuster represents a significant voice in intelligent robotics and adaptive control research.

Research Focus

Key Achievements

Top Papers

1. 1
   Adaptive position/force control for robot manipulator in contact with a flexible environment

   71 citations · 2017
2. 2
   On-line manipulator tool condition monitoring based on vibration analysis

   53 citations · 2016
3. 3
   Neural Tracking Control of a Four-Wheeled Mobile Robot with Mecanum Wheels

   43 citations · 2022
4. 4
   Discrete neural dynamic programming in wheeled mobile robot control

   37 citations · 2010
5. 5
   Intelligent Optimal Adaptive Control for Mechatronic Systems

   36 citations · 2017
6. 6
   Discrete Model-Based Adaptive Critic Designs in Wheeled Mobile Robot Control

   22 citations · 2010
7. 7
   Conventional and Fuzzy Force Control in Robotised Machining

   14 citations · 2013
8. 8
   Neural Dynamic Programming in Reactive Navigation of Wheeled Mobile Robot

   13 citations · 2012
9. 9
   Approximate Dynamic Programming in Tracking Control of a Robotic Manipulator

   13 citations · 2016
10. 10
    Fuzzy Sensor-Based Navigation with Neural Tracking Control of the Wheeled Mobile Robot

    11 citations · 2014

Key Collaborators

Contact & Links