1023. Can We Have It All? Towards Stress-Aware and Efficient Human-Robot Collaboration in Robotic Mobile Fulfillment Systems
Invited abstract in session MC-34: Planning and scheduling picking operations in collaborative environments, stream Warehousing.
Monday, 10:30-12:00Room: JUR – Hörsaal 16
Authors (first author is the speaker)
| 1. | Suryakant Kumar
|
| Operations Management and Quantitative Techniques Area, Indian Institute of Management Bodh Gaya, India | |
| 2. | Tanmoy Kundu
|
| Operations Management & Quantitative Techniques, Indian Institute of Management Indore | |
| 3. | Jiuh-Biing Sheu
|
| Department of Business Administration, National Taiwan University |
Abstract
This study develops a human-centric human-robot collaboration framework for Robotic Mobile Fulfillment Systems. By integrating stochastic optimal control with non-cooperative game theory, we enable Autonomous Mobile Robots (AMRs) to adapt to real-time picker stress. Using an Extended Kalman Filter for state estimation, the model dynamically adjusts AMRs movement rates based on Nash equilibria targets. Numerical analyses show stress reductions of up to 47% with minimal productivity loss, aligning warehouse operations with Industry 5.0.
Keywords
- Warehouse Design, Planning, and Control
- Logistics
- E-Commerce
Status: accepted
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