Papers
20
Total Citations
625
H-Index
13
About
Claus Lenz is a leading researcher at the intersection of robotics, artificial cognition, and human-robot collaboration, with a career dedicated to making industrial robots flexible, safe, and intuitive partners for human workers. His foundational work on artificial cognition in production systems (127 citations) established frameworks for adaptive manufacturing, while his pioneering concept of "joint-action" for humans and industrial robots (90 citations) redefined assembly tasks as collaborative, sensor-rich environments. Lenz has also been at the forefront of next-generation connectivity, exploring how 5G’s ultra-reliable low-latency communication can enable distributed robotic control (80 citations). His interdisciplinary contributions extend to cognitive neuroscience, where his study on motor interference (53 citations) revealed how perceived agent motility affects human-robot interaction. Beyond these high-impact papers, Lenz has advanced safety design principles, skill-based hybrid assembly, and workflow analysis using 3D tracking and Hidden Markov Models. His work consistently bridges technical innovation with human-centric design, making him a key figure in shaping how robots and people work together in modern industry.
Research Focus
Key Achievements
Top Papers
- 1Artificial Cognition in Production Systems127 citations · 2010
- 2Joint-action for humans and industrial robots for assembly tasks90 citations · 2008
- 35G for Robotics: Ultra-Low Latency Control of Distributed Robotic Systems80 citations · 2017
- 4
- 5Design Principles for Safety in Human-Robot Interaction49 citations · 2010
- 6A skill-based approach towards hybrid assembly39 citations · 2010
- 7
- 8Mechanisms and capabilities for human robot collaboration26 citations · 2014
- 9Constraint task-based control in industrial settings19 citations · 2009
- 10Human Preferences in Industrial Human-Robot Interactions19 citations · 2008