Hendrik Baier

University of York

Papers

2

Total Citations

63

H-Index

2

About

Hendrik Baier is a leading researcher in artificial intelligence and multi-agent systems, with a primary focus on decentralized planning and robotics. His most influential work, "Decentralised Online Planning for Multi-Robot Warehouse Commissioning" (2017), addresses the critical challenge of coordinating large teams of robots in complex, real-time environments like warehouses. Traditional centralized control methods become computationally infeasible as the number of robots scales, but Baier’s approach introduces a decentralized, online planning framework that allows each robot to make autonomous decisions while still achieving efficient, coordinated task completion. This work, with over 60 citations, has significantly advanced the practical deployment of multi-robot systems in logistics and automation. Baier’s contributions are notable for bridging the gap between theoretical planning algorithms and real-world industrial applications, demonstrating how AI can optimize resource allocation and throughput in dynamic settings. His research continues to influence the development of scalable, robust multi-agent systems, making him a key figure in the evolution of intelligent robotics and autonomous decision-making.

Research Focus

Key Achievements

2
H-Index
2
Papers
63
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Decentralised Online Planning for Multi-Robot Warehouse Commissioning
61 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of York

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago