Felix M. Escalante Ortega — accepted AI-conference papers

2024

HuMAn - the Human Motion Anticipation Algorithm Based on Recurrent Neural Networks

Victor Noppeney, Felix M. Escalante Ortega, Lucas Maggi, Thiago Boaventura

RA-L 2024

Predicting human motion may lead to considerable advantages for human-robot interaction, particularly when precise synchronization between the robot's motion and the user's movement is imperative. The inherent stochastic nature of human behavior, combined with the restricted window of response, can

Cited by 2 Source ↗Scholar ↗

2023

Markovian Transparency Control of an Exoskeleton Robot

Felix M. Escalante Ortega, Leonardo F. dos Santos, Jose Y. Moreno, Adriano A. G. Siqueira, Marco H. Terra, Thiago Boaventura

RA-L 2023

In wearable robotics, certain applications require the robot to be transparent, i.e., imperceptible to the user. This is a very difficult cooperative control task due to the inherent coupling between human and robot, unpredictable human movements, and user-dependent behavior. In this letter, we prop

Cited by 10 Source ↗Scholar ↗