Max Robotics — Global Service Robot Directory + US Certification

About

Anne M. Boonstra is a rehabilitation researcher whose work centers on robotic-assisted gait rehabilitation, with a particular focus on the Lokomat exoskeleton and its application in post-stroke recovery. Her research has systematically examined how key training parameters — including guidance force, bodyweight support, and gait speed — interact to influence muscle activity and movement patterns in both healthy individuals and hemiparetic stroke patients. Boonstra's most influential contributions have provided clinicians with evidence-based guidance for optimizing Lokomat training protocols. Her 2016 study on combined parameter effects in able-bodied walkers (75 citations) laid important groundwork, while her 2017 comparative analysis of Lokomat versus treadmill walking in stroke patients (68 citations) illuminated how robotic guidance alters neuromuscular recruitment following stroke. Her 2019 investigation into training parameters and temporal symmetry (66 citations) further refined understanding of how to tailor robotic gait therapy for individual patients. More recently, Boonstra has explored asymmetrical guidance strategies to better accommodate the unilateral impairments characteristic of stroke. Across her body of work, she has meaningfully advanced the field's understanding of how robotic exoskeletons can be purposefully and precisely employed to restore functional mobility after neurological injury.