1 citations · 1 across the 3 of their papers we have counts for
4 papers
Attribution and Uncertainty Behavior of Learned Residual Gyro Correction for Gyro-Stellar Estimation
Mariela De Lucas Ãlvarez, Melvin Laux, Arthur de Freitas Precht +4
This work investigates uncertainty decomposition and explainability in a deep learning-based framework for gyroscope bias correction. A 1-D Convolutional Neural Network is trained…
Do Robots Really Need Anthropomorphic Hands? A Comparison of Human and Robotic Hands
Alexander Fabisch, Wadhah Zai El Amri, Chandandeep Singh +1
Human manipulation skills represent a pinnacle of voluntary motor functions, requiring the coordination of many degrees of freedom and the processing of high-dimensional sensor inp…
Deep Reinforcement Learning for Spacecraft Attitude Control During Atmospheric Re-Entry
Alexander Fabisch, Melvin Laux, Mariela De Lucas Ãlvarez +2
Deep reinforcement learning has the potential to solve attitude control problems more adaptively, precisely, and robustly by handling nonlinear dynamics, uncertainties, and failure…
A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives
Alexander Fabisch, Christoph Petzoldt, Marc Otto +1
Recent success of machine learning in many domains has been overwhelming, which often leads to false expectations regarding the capabilities of behavior learning in robotics. In th…