Mats Jackson

About

Mats Jackson is a leading researcher at the intersection of industrial robotics and lean manufacturing, whose work has fundamentally shaped how modern factories integrate automation. His primary research areas include lean automation, reconfigurable robotic systems, and human-robot collaboration in assembly processes. Jackson’s most influential contribution is his pioneering framework for embedding industrial robots into lean manufacturing systems, demonstrating how automation can enhance rather than disrupt lean principles—work that has garnered 67 citations. He further advanced this field through his comprehensive study on “Lean Automation,” which identified practical requirements for efficient robot use in Swedish manufacturing, earning 28 citations. Jackson’s innovative “Factory-in-a-box” concept (19 citations) proposed a radical new model for flexible, mobile manufacturing providers. In human skill capture, he developed a Hidden Markov Model to analyze force and torque data during peg-in-a-hole assembly (15 citations), enabling the transfer of human expertise to robotic systems. His research on reconfigurable robotics and solutions for small-to-medium enterprises has been equally impactful, addressing critical challenges in modern production. Jackson’s work, spanning international conferences and case studies comparing Swedish and Japanese practices, has established him as a key figure in creating more adaptive, efficient, and human-centered manufacturing environments.

Research Focus

Key Achievements

Top Papers

1. 1
   How to improve the use of industrial robots in lean manufacturing systems

   67 citations · 2011
2. 2
   International Conference on Mechatronics

   43 citations · 2003
3. 3
   Lean Automation: Requirements and Solutions for Efficient use of Robot Automation in the Swedish Manufacturing Industry

   28 citations · 2011
4. 4
   Factory-in-a-box — Demonstrating the next generation manufacturing provider

   19 citations · 2008
5. 5
   Human skill capture: A Hidden Markov Model of force and torque data in peg-in-a-hole assembly process

   15 citations · 2016
6. 6
   The Need for Reconfigurable Robotic Systems

   10 citations · 2007
7. 7
   INDUSTRIAL ROBOTICS IN THE LEAN ENTERPRISE – A CASE STUDY

   8 citations · 2008
8. 8
   Robotics for SME´s – Investigating a Mobile, Flexible, and Reconfigurable Robot Solution

   7 citations · 2008

Key Collaborators

Contact & Links