Tone Lerher
Papers
8
Total Citations
88
H-Index
5
About
Dr. Tone Lerher is a leading researcher at the forefront of Industry 5.0, specializing in the integration of autonomous mobile robots (AMRs) and collaborative robotics within warehouse logistics and manufacturing. His work directly addresses the explosive growth of e-commerce by developing intelligent automation solutions. Dr. Lerher’s major contributions include pioneering agent-based modelling to prevent deadlocks and collisions in multi-AMR warehouse systems, a work that has garnered 34 citations and is foundational for modern logistics. He has also significantly advanced robotic bin-picking by creating novel simulation models for pick-point evaluation and adapting the Box and Blocks Test to benchmark robotic dexterity. Notably, Dr. Lerher is a key voice in human-robot synergy, exploring how collaborative systems can be optimized for an aging workforce—a critical concern for sustainable industry. His recent experimental insights into how human age influences order-picking performance with cobots are shaping the future of ergonomic and inclusive automation. With a portfolio of highly cited papers and a clear focus on practical, human-centric innovation, Dr. Lerher is shaping the next generation of smart, safe, and efficient industrial environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Simulation Model for Robotic Pick-Point Evaluation for 2-F Robotic Gripper14 citations · 2023
- 3Evaluating robot bin-picking performance based on Box and Blocks Test11 citations · 2022
- 4
- 5
- 6
- 7
- 8