Alexander Ewald

About

Alexander Ewald is a leading researcher in bipedal locomotion, bridging the gap between neurobiology and robotics to create more adaptive, resilient walking machines. His work centers on developing control systems that allow humanoid robots to navigate complex, unstructured environments—moving beyond rigid, pre-planned gaits toward flexible, event-driven responses. Ewald’s most influential contribution, his 2015 paper "Controlling legs for locomotion—insights from robotics and neurobiology" (87 citations), synthesizes biological principles with robotic control, offering a foundational framework for understanding how animals and machines manage versatile walking. He further advanced the field through his work on the humanoid robot LOLA, detailing its decentralized sensor-controller network and dynamic control systems in multiple highly cited papers (2012, 10 citations each). Ewald also developed practical solutions for real-world challenges, including real-time 3D collision avoidance (2014, 11 citations) and an estimation model for footstep modifications to prevent falls from disturbances (2014, 11 citations). His research is essential reading for anyone interested in making humanoid robots truly agile and robust in unpredictable settings.

Research Focus

Key Achievements

Top Papers

1. 1
   Controlling legs for locomotion—insights from robotics and neurobiology

   87 citations · 2015
2. 2
   Event-based walking control — From neurobiology to biped robots

   16 citations · 2012
3. 3
   An estimation model for footstep modifications of biped robots

   11 citations · 2014
4. 4
   Real-time 3D collision avoidance for biped robots

   11 citations · 2014
5. 5
   The sensor-controller network of the humanoid robot LOLA

   10 citations · 2012
6. 6
   Dynamics and Control of the Biped Robot Lola

   10 citations · 2012
7. 7
   Generating Smooth Trajectories Free from Overshoot for Humanoid Robot Walking Pattern Replanning

   4 citations · 2012

Key Collaborators

Contact & Links