Lara Riem
Papers
1
Total Citations
12
H-Index
1
About
Lara Riem is a leading researcher in biomechatronics and neural control, whose work focuses on advancing lower-limb prosthetics through intelligent, adaptive systems. Her key research areas include myoelectric control, human locomotion, and predictive modeling of joint dynamics. Riem’s most cited paper, “Continuous Myoelectric Prediction of Future Ankle Angle and Moment Across Ambulation Conditions and Their Transitions” (2021, 12 citations), demonstrates a groundbreaking approach: using a single neural network to continuously predict ankle kinematics and kinetics from muscle signals, enabling prostheses to anticipate terrain changes and transitions. This work directly addresses a critical challenge for amputees—the inability of current prostheses to adapt predictively to environmental shifts. By showing that myoelectric signals can forecast future joint states in real time, Riem’s research paves the way for more seamless, intuitive prosthetic control. Her contributions are notable for bridging the gap between biological motor control and robotic assistance, with implications for rehabilitation and assistive technology. With a growing citation impact, Riem is establishing herself as a key voice in the effort to restore natural, adaptive movement for individuals with limb loss.
Research Focus
Key Achievements
Top Papers
- 1