position and velocity
Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces Luis H. Cubillos
BMI applications, ranging from speech production to finger control.
ARetrospectiveontheRobotAirHockey Challenge: BenchmarkingRobust, Reliable,andSafeLearning TechniquesforReal-worldRobotics
Machine learning methods have a groundbreaking impact in many application domains, but their application on real robotic platforms is still limited. Despite the many challenges associated with combining machine learning technology with robotics, robot learning remains one of the most promising directions for enhancing thecapabilities ofrobots.
Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces Luis H. Cubillos
BMI applications, ranging from speech production to finger control.