Curt Henrichs

About

Curt Henrichs is a leading researcher in human-robot collaboration, with a focus on optimizing the integration of collaborative robots (cobots) into manufacturing workplaces. His work centers on the critical trade-offs between productivity, physical workload, and mental workload when cobots are introduced into manual tasks. Henrichs has made foundational contributions to understanding task interdependence in human-robot teams, providing frameworks that help practitioners design effective collaborative processes. His highly cited 2022 paper (57 citations) on enhancing work activities through cobot integration is a cornerstone in the field. Henrichs also developed CoFrame, a system for training novice cobot programmers, and Authr, a tool for translating human tasks into robot-executable workflows. His research on attention management interfaces, including the Robot Attention Demand metric, supports operators in supervising and troubleshooting cobot systems. With over 110 citations across his most notable works, Henrichs is shaping how industries implement safe, efficient, and human-centered robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Human Robot Collaboration for Enhancing Work Activities

   57 citations · 2022
2. 2
   Task Interdependence in Human-Robot Teaming

   24 citations · 2020
3. 3
   CoFrame: A System for Training Novice Cobot Programmers

   15 citations · 2022
4. 4
   Authr

   12 citations · 2020
5. 5
   Designing Interface Aids to Assist Collaborative Robot Operators in Attention Management

   2 citations · 2021

Key Collaborators

Contact & Links