Willi Richert

About

Willi Richert is a robotics and autonomous systems researcher whose work centers on machine learning for mobile robots, multi-robot societies, and adaptive architectures. His most significant contributions lie in developing frameworks that enable robots to learn autonomously across multiple levels of abstraction — from low-level motor skills to high-level strategies — while operating in continuous, noisy, real-world environments. His landmark "Robust Layered Learning" framework extended Stone's foundational layered learning paradigm by incorporating dynamic adaptivity at every architectural layer, allowing robotic systems to handle unforeseen changes gracefully. A recurring theme in Richert's research is the use of imitation learning to accelerate reinforcement learning in multi-robot settings. His investigations into "sporadic imitation" — where robots opportunistically learn from peers without requiring repeated demonstrations — represent a particularly novel contribution to cooperative robotics. His practical work is exemplified by the Paderkicker robot soccer team, demonstrating his ability to bridge theoretical frameworks with real-time embedded systems engineering. With citations spanning autonomous learning, Organic Computing principles, and heterogeneous robot societies, Richert's body of work, while modest in citation volume, offers foundational insights for researchers exploring adaptive, self-organizing robotic systems operating in complex, dynamic environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Increasing the Autonomy of Mobile Robots by On-line Learning Simultaneously at Different Levels of Abstraction

   9 citations · 2008
2. 2
   Adaptivity at every layer

   8 citations · 2008
3. 3
   Increasing Learning Speed by Imitation in Multi-robot Societies

   6 citations · 2011
4. 4
   The Paderkicker Team: Autonomy in Realtime Environments

   6 citations · 2007
5. 5
   Layered understanding for sporadic imitation in a multi-robot scenario

   6 citations · 2008
6. 6
   Towards Robust Layered Learning

   5 citations · 2007
7. 7
   ESLAS - a robust layered learning framework

   4 citations · 2009
8. 8
   Integrating sporadic imitation in Reinforcement Learning robots

   2 citations · 2009
9. 9
   Trading off Impact and Mutation of Knowledge by Cooperatively Learning Robots

   2 citations · 2006
10. 10
    Measurement of Robot Similarity to Determine the Best Demonstrator for Imitation in a Group of Heterogeneous Robots

    2 citations · 2008

Key Collaborators

Contact & Links