Nikolaos Papakostas

About

Nikolaos Papakostas is a prominent researcher specializing in human-robot collaboration, smart manufacturing, and Industry 4.0 technologies. His work sits at the intersection of robotics, digital manufacturing, and intelligent automation, with a particular focus on advancing cooperative robotic systems and their real-world industrial applications. Papakostas has made significant contributions to the field through his pioneering research on Digital Twins for human-robot collaboration, which has garnered 80 citations since its 2022 publication, establishing him as a key voice in cyber-physical systems and flexible factory automation. His early work on cooperating robotic cells in automotive assembly (2011, 70 citations) laid important groundwork for modern collaborative manufacturing environments, demonstrating practical pathways for implementing multi-robot systems in complex production settings. His research portfolio reflects a consistent drive to bridge emerging technologies with manufacturing practice, encompassing mobile collaborative robotics, Edge AI integration, robotic process automation for additive manufacturing, and human activity recognition systems. Notably, his investigations into vision-based human pose detection underscore a commitment to safer, more ergonomic human-robot workspaces. With over 280 cumulative citations across a decade of research, Papakostas has meaningfully shaped how industry and academia approach intelligent, human-centered automation in modern manufacturing environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Digital Twin for Human–Robot Collaboration in Manufacturing: Review and Outlook

   80 citations · 2022
2. 2
   Industrial applications with cooperating robots for the flexible assembly

   70 citations · 2011
3. 3
   Integrating digital manufacturing and simulation tools in the assembly design process: A cooperating robots cell case

   39 citations · 2011
4. 4
   Operator - mobile robot collaboration for synchronized part movement

   19 citations · 2021
5. 5
   Review and application of Edge AI solutions for mobile collaborative robotic platforms

   19 citations · 2022
6. 6
   Utilising robotic process automation technologies for streamlining the additive manufacturing design workflow

   18 citations · 2021
7. 7
   Automatic simulation-based design and validation of robotic gripper fingers

   16 citations · 2022
8. 8
   On using human activity recognition sensors to improve the performance of collaborative mobile manipulators: Review and outlook

   15 citations · 2021
9. 9
   On the Evaluation of Diverse Vision Systems towards Detecting Human Pose in Collaborative Robot Applications

   14 citations · 2024
10. 10
    Knowledge-enabled Design of Cooperating Robots Assembly Cells

    11 citations · 2014

Key Collaborators

Contact & Links