Alexander Sproewitz
École Polytechnique Fédérale de Lausanne, Inspire, Technische Universität Ilmenau
Papers
15
Total Citations
461
H-Index
10
About
Alexander Sproewitz is a pioneering robotics researcher whose work sits at the intersection of modular robotics, bio-inspired locomotion control, and adaptive robotic systems. Best known for his contributions to self-reconfiguring modular robots and Central Pattern Generator (CPG)-based locomotion, Sproewitz has helped shape how robots learn to move autonomously across complex environments. His most influential work, "Learning to Move in Modular Robots using Central Pattern Generators and Online Optimization" (2008, 134 citations), demonstrated how modular robotic systems could learn locomotion in real time — a breakthrough that advanced both theoretical and applied robotics. His Roombots project, explored across multiple publications, envisions a future where intelligent, self-reconfiguring robotic modules serve as the building blocks of adaptive furniture, merging robotics with everyday living environments. Sproewitz has also contributed significantly to quadruped locomotion, developing controllers capable of navigating uneven terrain through sensory feedback and virtual model control. His development of lightweight pneumatic quadruped robots further demonstrates his commitment to efficient, biologically inspired design. With over 400 cumulative citations across his key publications, Sproewitz's research has made lasting contributions to modular robotics, adaptive locomotion, and reconfigurable systems — areas increasingly central to the future of intelligent robotics.
Research Focus
Key Achievements
Top Papers
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- 5Development of a minimalistic pneumatic quadruped robot for fast locomotion35 citations · 2012
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- 7Graph Signature for Self-Reconfiguration Planning26 citations · 2008
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- 9Adaptive Locomotion Control in Modular Robotics15 citations · 2007
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