Kasper Hendriks
Papers
1
Total Citations
2
H-Index
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About
Dr. Kasper Hendriks is a rising scholar in the field of human-robot collaboration and logistics optimization, with a focus on creating efficient and equitable autonomous systems. His research centers on developing uncertainty-aware decision-making frameworks for collaborative environments, particularly in warehouse order picking. In his most-cited work, "Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking" (2024), Hendriks addresses a critical challenge in modern logistics: how to allocate human pickers to Autonomous Mobile Robots (AMRs) in a way that maximizes throughput while ensuring fairness among workers. By modeling the inherent uncertainty in human movement and task completion times, his approach enables AMRs to dynamically adapt their routing and scheduling policies, reducing idle time and balancing workload across the workforce. Though early in his career, this work has already garnered attention for its practical implications in e-commerce and supply chain management. Hendriks’ contributions bridge reinforcement learning, operations research, and human factors engineering, offering a blueprint for more responsive and ethically-aware automation in collaborative settings—a vital step toward Industry 5.0.
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Top Papers
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