2 code implementations • 25 Feb 2024 • Luca Castri, Gloria Beraldo, Sariah Mghames, Marc Hanheide, Nicola Bellotto
Deploying robots in human-shared spaces requires understanding interactions among nearby agents and objects.
no code implementations • 23 Oct 2023 • Luca Castri, Sariah Mghames, Nicola Bellotto
Using robots for automating tasks in environments shared with humans, such as warehouses, shopping centres, or hospitals, requires these robots to comprehend the fundamental physical interactions among nearby agents and objects.
no code implementations • 30 Jun 2023 • Sariah Mghames, Luca Castri, Marc Hanheide, Nicola Bellotto
The third approach implements a purely data-driven network for motion prediction, the output of which is post-processed to predict QTC spatial interactions.
1 code implementation • 23 Apr 2023 • Sariah Mghames, Luca Castri, Marc Hanheide, Nicola Bellotto
Reasoning on the context of human beings is crucial for many real-world applications especially for those deploying autonomous systems (e. g. robots).
no code implementations • 24 Dec 2022 • Zhi Yan, Li Sun, Tomas Krajnik, Tom Duckett, Nicola Bellotto
In the future, service robots are expected to be able to operate autonomously for long periods of time without human intervention.
no code implementations • 29 Oct 2022 • Luca Castri, Sariah Mghames, Marc Hanheide, Nicola Bellotto
Exploiting robots for activities in human-shared environments, whether warehouses, shopping centres or hospitals, calls for such robots to understand the underlying physical interactions between nearby agents and objects.
no code implementations • 1 Jul 2021 • Abdalkarim Mohtasib, Amir Ghalamzan E., Nicola Bellotto, Heriberto Cuayáhuitl
We compared the performances of our novel classifier and the existing models using our dataset and the MIME dataset.
no code implementations • 26 Mar 2020 • Fanta Camara, Nicola Bellotto, Serhan Cosar, Florian Weber, Dimitris Nathanael, Matthias Althoff, Jingyuan Wu, Johannes Ruenz, André Dietrich, Gustav Markkula, Anna Schieben, Fabio Tango, Natasha Merat, Charles W. Fox
Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles navigating through crowds on pedestrianized high-streets.
no code implementations • 26 Feb 2020 • Fanta Camara, Nicola Bellotto, Serhan Cosar, Dimitris Nathanael, Matthias Althoff, Jingyuan Wu, Johannes Ruenz, André Dietrich, Charles W. Fox
Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles navigating through crowds on pedestrianized high-streets.
no code implementations • 26 Feb 2020 • Manuel Fernandez-Carmona, Sariah Mghames, Nicola Bellotto
This paper, therefore, presents a new approach for temporal modelling of long-term human activities with smart-home sensors, which is used to detect anomalous situations in a robot-assisted environment.
1 code implementation • 24 Feb 2020 • Zhi Yan, Simon Schreiberhuber, Georg Halmetschlager, Tom Duckett, Markus Vincze, Nicola Bellotto
The proposed system is based on multiple sensors including 3D and 2D lidar, two RGB-D cameras and a stereo camera.
Robotics
no code implementations • 3 Apr 2019 • Qinbing Fu, Nicola Bellotto, Huatian Wang, F. Claire Rind, Hongxin Wang, Shigang Yue
This research addresses the challenging problem of visual collision detection in very complex and dynamic real physical scenes, specifically, the vehicle driving scenarios.
no code implementations • 23 Aug 2018 • Qinbing Fu, Nicola Bellotto, Shigang Yue
With respect to biological findings underlying fly's physiology in the past decade, we present a directionally selective neural network, with a feed-forward structure and entirely low-level visual processing, so as to implement direction selective neurons in the fly's visual system, which are mainly sensitive to wide-field translational movements in four cardinal directions.