Veronica Lestari Jauw
Monash University Malaysia, Australian Regenerative Medicine Institute, Monash University, Sunway University
Papers
7
Total Citations
44
H-Index
4
About
Veronica Lestari Jauw’s research lies at the intersection of rehabilitation robotics and biomedical signal processing, with a primary focus on restoring motor function for stroke survivors. Her most significant contribution is the development of novel computational methods—specifically genetic algorithms (GA) and simulated annealing (SA)—to convert raw electromyography (EMG) signals into accurate estimates of muscle force and joint torque. This work directly addresses a critical bottleneck in robot-assisted rehabilitation: creating a seamless, intuitive interface between the user’s neural intent and the robotic exoskeleton. Her 2010 paper on GA-based estimation has garnered 15 citations, establishing a foundational approach that has been refined in subsequent studies, including her 2011 work on SA processes (7 citations). Beyond upper-limb rehabilitation, Jauw has explored bio-inspired locomotion, investigating animal walking gaits for quad-crawler robot navigation. Her cumulative body of work, spanning over a decade, demonstrates a sustained commitment to translating computational intelligence into practical, assistive technologies that can improve the quality of life for individuals with motor impairments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Estimation of muscle forces and joint torque from EMG using SA process7 citations · 2010
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- 5
- 6Quad crawler robot navigation using animal walking gait3 citations · 2010
- 7Investigation on Upper Limb’s Muscle Utilizing EMG Signal3 citations · 2012