Explainable probabilistic models for robot applications (XPro)
Project name: Explainable probabilistic models for robot applications (XPro)
Description: XPro is a bilateral project between ISR-UC and Universität Greifswald, funded by FCT (Portugal) and DAAD (Germany), aiming to tackle an important problem in engineering and robotics - probabilistic explainability of deep-models for robot-critical applications such as autonomous robot-perception, self-driving robot-vehicles, and decision making. XPro will focus on explainability by developing post-hoc techniques applied to existing pre-trained deep models applied to robot perception. In terms of case studies, XPro will explore two application domains, robotic perception and autonomous robotic-vehicles.
PI: Cristiano Premebida
Reference: FCT 2023.10049.CBM
Website: https://sites.google.com/view/xpro-project
Partners: ISR-UC, Universität Greifswald
Duration of the action: 2024-03-26 - 2026-03-25
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