Elisandra Bar de Figueiredo
Papers
1
Total Citations
4
H-Index
1
About
Elisandra Bar de Figueiredo is a researcher whose work lies at the intersection of robotics, nonlinear control, and biomechanics, with a particular focus on bipedal locomotion. Her major contributions center on the innovative use of passive dynamics to generate energy-efficient walking patterns for biped robots. In her most-cited work, she developed a nonlinear predictive control strategy that leverages a neural network trained on passive walking data from varying slopes, enabling a biped walker to adjust its step length in real time. This approach marries the elegance of passive dynamic walking—where natural limb motion is harnessed to reduce energy consumption—with modern control theory, offering a pathway toward more natural and adaptable robotic gait. While her citation count (4 for this paper) reflects a growing but early-stage impact, the work has been recognized for its potential to advance assistive robotics and prosthetics. Her research is particularly notable for bridging simulation and practical implementation, providing a reference generator that could one day translate into more fluid, human-like movement in robots.
Research Focus
Key Achievements
Top Papers
- 1