Beck Strohmer

About

Beck Strohmer is a leading researcher in neurorobotics and computational neuroscience, focusing on how biological neural principles can be applied to robotic locomotion. Their major contributions center on developing flexible, adaptive control systems for legged robots, particularly through spiking neural networks (SNNs) that mimic the sensorimotor loops found in insects. Strohmer’s most-cited work, "Flexible Spiking CPGs for Online Manipulation During Hexapod Walking" (34 citations), introduced a novel approach to gait adaptation by dynamically adjusting amplitude, frequency, and phase in response to environmental feedback. They further advanced the field by integrating non-spiking interneurons into SNNs—a biologically realistic hybrid model that bridges computational efficiency and neural plausibility. Strohmer also contributed to practical robotics with a ROS-enabled FPGA hardware framework, making real-time control accessible to experimentalists. Their perspective on using neurorobotics to investigate neurodegenerative diseases (2023) highlights a visionary application of their work. With a growing citation impact and a focus on combining neural modeling with real-world robotics, Strohmer is shaping the future of adaptive, bio-inspired locomotion systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Flexible Spiking CPGs for Online Manipulation During Hexapod Walking

   34 citations · 2020
2. 2
   Locomotion Control With Frequency and Motor Pattern Adaptations

   13 citations · 2021
3. 3
   Integrating Non-spiking Interneurons in Spiking Neural Networks

   12 citations · 2021
4. 4
   Perspective on investigation of neurodegenerative diseases with neurorobotics approaches

   9 citations · 2023
5. 5
   ROS-Enabled Hardware Framework for Experimental Robotics

   4 citations · 2019
6. 6
   Integrating Non-Spiking Interneurons in Spiking Neural Networks

   2 citations · 2020

Key Collaborators

Contact & Links