Rasmus Andersen

About

Rasmus Andersen is a prominent robotics researcher whose work sits at the intersection of industrial automation, human-robot collaboration, and intelligent manufacturing systems. With a career spanning over a decade, Andersen has made significant contributions to making robots more intuitive, flexible, and deployable in real-world industrial environments. His most influential work, "Robot Skills for Manufacturing: From Concept to Industrial Deployment" (2015, 458 citations), established foundational frameworks for translating abstract robotic capabilities into practical manufacturing solutions. Complementing this, his research on skill-based instruction of collaborative robots (136 citations) and projecting robot intentions into human environments (125 citations) has advanced how workers and robots can safely and effectively share workspaces — addressing the critical challenge of making robot behavior legible and predictable to human co-workers. Andersen has also pioneered applications in specialized industries, including autonomous mobile manipulation in factories, stud welding automation for shipbuilding, and deep reinforcement learning for process control in food production. His exploration of self-learning systems for tasks like brine injection and robot batching optimization signals a forward-looking commitment to adaptive, intelligent manufacturing. Collectively, his work has accumulated over 900 citations, reflecting substantial influence on both academic research and practical industrial robotics deployment.

Research Focus

Key Achievements

Top Papers

1. 1
   Robot skills for manufacturing: From concept to industrial deployment

   458 citations · 2015
2. 2
   Skill-based instruction of collaborative robots in industrial settings

   136 citations · 2018
3. 3
   Projecting robot intentions into human environments

   125 citations · 2016
4. 4
   Integration of mobile manipulators in an industrial production

   61 citations · 2015
5. 5
   Intuitive task programming of stud welding robots for ship construction

   43 citations · 2015
6. 6
   Proceedings of the 44th International Symposium on Robotics ISR 2013

   28 citations · 2013
7. 7
   Self-learning Processes in Smart Factories: Deep Reinforcement Learning for Process Control of Robot Brine Injection

   26 citations · 2019
8. 8
   Task space HRI for cooperative mobile robots in fit-out operations inside ship superstructures

   20 citations · 2016
9. 9
   Fast calibration of industrial mobile robots to workstations using QR codes

   19 citations · 2013
10. 10
    Deep Reinforcement Learning for Robot Batching Optimization and Flow Control

    13 citations · 2020

Key Collaborators

Contact & Links