Papers
9
Total Citations
1,392
H-Index
7
About
Brandon Rohrer is a researcher whose work bridges neurorehabilitation and biologically-inspired robotics, with a focus on understanding and replicating human motor control. His key research areas include movement analysis in stroke recovery, robot-aided neurorehabilitation, and model-free learning algorithms for autonomous systems. Rohrer’s major contributions include pioneering the use of robotic therapy devices to quantify movement smoothness as a metric for stroke recovery—his 2002 paper on this topic has garnered 777 citations, establishing a foundational method in the field. He also developed S-learning, a biomimetic, model-free algorithm that enables robots to learn and control themselves in unstructured environments without prior models, as demonstrated in mobile robots. His work on robotic assistance for motor recovery (374 citations) has advanced the shift from evidence-based to science-based rehabilitation, emphasizing behavioral factors. Rohrer’s notable achievements include integrating AI for natural world interaction through his BECCA system, which aims to solve the challenge of arbitrary goal pursuit in physical environments. With over 1,300 total citations across his most-cited works, Rohrer’s interdisciplinary approach has significantly impacted both clinical rehabilitation and autonomous robotics, offering insights into how biological principles can inform technology.
Research Focus
Key Achievements
Top Papers
- 1Movement Smoothness Changes during Stroke Recovery777 citations · 2002
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- 4Model-Free Learning and Control in a Mobile Robot32 citations · 2009
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- 6A learning and control approach based on the human neuromotor system13 citations · 2006
- 7BECCA: Reintegrating AI for Natural World Interaction9 citations · 2012
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- 9Robust performance of autonomous robots in unstructured environments.2 citations · 2007