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Updated: Jan 13, 2026

Fully Automated Leg Tracking in Freely Moving Insects using Feature Learning Leg Segmentation and Tracking FLLIT
Published on: April 23, 2020
Planificación de movimiento adaptativa para robots con patas en terrenos no estructurados utilizando aprendizaje por
1Computer Science and Engineering Department, East West University, Aftabnagar, Dhaka, 1212, Badda, Bangladesh. uddin@ewubd.edu.
Este estudio presenta un marco de locomoción adaptativa para robots cuadrúpedos entrenado mediante aprendizaje por refuerzo profundo (DRL). El sistema logra una marcha estable y energéticamente eficiente en terrenos desafiantes con un deslizamiento mínimo de las patas, mejorando la movilidad del robot.
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