Amber Emmens
Papers
4
Total Citations
31
H-Index
3
About
Amber Emmens is a leading researcher in the intersection of biomechanics and robotics, specializing in human balance recovery and wearable exoskeleton control. Her work focuses on understanding and predicting how humans maintain balance during perturbations, with the goal of improving human-robot interaction. Emmens’s most impactful contribution is her 2020 study on momentum-based controllers (MBC), which investigated whether these algorithms, commonly used in bipedal robots, can replicate human balance strategies—a key question for designing intuitive exoskeletons. This paper has garnered 19 citations, reflecting its significance in the field. She also developed a classification approach to predict reactive stepping versus upper-body rotation, offering new insights into the decision-making process behind balance strategies. Additionally, Emmens has applied her expertise to rehabilitation, training balance recovery in individuals with incomplete spinal cord injury using wearable exoskeletons. Her earlier work on cable-driven robots and vision-based control demonstrates a broad engineering foundation. Through her research, Emmens is bridging the gap between human motor control and robotic assistance, advancing the design of safer, more responsive exoskeletons for clinical and everyday use.
Research Focus
Key Achievements
Top Papers
- 1Can Momentum-Based Control Predict Human Balance Recovery Strategies?19 citations · 2020
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