Maciej Petko

About

Maciej Petko is a prominent researcher specializing in robotics, mechatronics, and embedded control systems, with particular expertise in parallel and hybrid robot architectures, FPGA-based hardware implementation, and CNC machine control. His work bridges the gap between theoretical control design and practical hardware realization, making significant contributions to how complex robotic systems are engineered and deployed. Petko's most influential contributions focus on the development of CNC systems and trajectory tracking controllers for 5-axis hybrid milling robots, each garnering 20 citations, alongside pioneering work on FPGA-accelerated inverse kinematics for parallel robots (15 citations). His 2004 paper on semi-automatic ASIC/FPGA implementation of control algorithms (17 citations) introduced an innovative workflow using Simulink-to-synthesizable code generation, enabling virtual prototyping of entire mechatronic systems with bit and cycle-accurate precision — a landmark contribution to rapid control prototyping methodology. Throughout his career, Petko has consistently advanced hardware/software co-design strategies, neural control implementations in FPGA, and jerk-limited trajectory generation for CNC applications. His body of work reflects a sustained commitment to making sophisticated robotic control both computationally efficient and practically implementable, offering valuable tools and frameworks for engineers and researchers working at the intersection of robotics, control theory, and reconfigurable computing.

Research Focus

Key Achievements

Top Papers

1. 1
   CNC system of the 5-axis hybrid robot for milling

   20 citations · 2016
2. 2
   Trajectory tracking controller of the hybrid robot for milling

   20 citations · 2016
3. 3
   Semi-automatic implementation of control algorithms in ASIC/FPGA

   17 citations · 2004
4. 4
   FPGA based hardware accelerator for calculations of the parallel robot inverse kinematics

   15 citations · 2012
5. 5
   Rapid Control Prototyping for Flexible Arm

   10 citations · 2000
6. 6
   Hardware/Software Co-design of Control Algorithms

   7 citations · 2006
7. 7
   Embedded controller design-mechatronic approach

   6 citations · 2002
8. 8
   Acceleration of parallel robot trajectory generation in FPGA

   4 citations · 2013
9. 9
   NEURAL CONTROL OF A PARALLEL ROBOT – DESIGN AND IMPLEMENTATION IN FPGA

   4 citations · 2006
10. 10
    Trajectory generation for the hybrid robot from G code

    3 citations · 2013

Key Collaborators

Contact & Links