Magnus Isaksson
Papers
8
Total Citations
298
H-Index
5
About
Magnus Isaksson is a robotics researcher whose work spans assistive exoskeleton technology, human-robot interaction, and control systems engineering. He is perhaps best known for his highly cited 2017 review of lower-limb exoskeletons (221 citations), which became a foundational reference in the field by addressing the growing demand for assistive technologies in an aging global society. His early contributions include nonlinear identification methods for detecting backlash in robot transmissions (2002, 29 citations), demonstrating a long-standing interest in precision robotics and mechanical systems. Isaksson's more recent research has focused on developing intelligent control strategies for wearable exoskeletons, including disturbance observer-based load torque compensation to manage the complex dynamics of human-exoskeleton interaction. His work on knee exoskeletons using bond graph modeling addresses practical mobility challenges for individuals with joint disorders, while his investigations into compliant arm-support systems and low-degree-of-freedom designs push the boundaries of safe physical human-robot interaction. He has also explored the broader societal applications of robotics, including pandemic response. Across his career, Isaksson has consistently bridged theoretical control engineering with real-world assistive applications, making meaningful contributions to rehabilitation robotics and occupational health.
Research Focus
Key Achievements
Top Papers
- 1Lower-limb exoskeletons221 citations · 2017
- 2Nonlinear identification of backlash in robot transmissions29 citations · 2002
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- 6Robots are a Promising Investment to Fight Pandemics5 citations · 2021
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- 8Using robotic exoskeletons to reduce muscle activity of workers2 citations · 2023