Search Results for author: Luca Castri

Found 7 papers, 2 papers with code

neuROSym: Deployment and Evaluation of a ROS-based Neuro-Symbolic Model for Human Motion Prediction

no code implementations24 Jun 2024 Sariah Mghames, Luca Castri, Marc Hanheide, Nicola Bellotto

Autonomous mobile robots can rely on several human motion detection and prediction systems for safe and efficient navigation in human environments, but the underline model architectures can have different impacts on the trustworthiness of the robot in the real world.

Human motion prediction Motion Detection +1

Experimental Evaluation of ROS-Causal in Real-World Human-Robot Spatial Interaction Scenarios

no code implementations7 Jun 2024 Luca Castri, Gloria Beraldo, Sariah Mghames, Marc Hanheide, Nicola Bellotto

To bridge this gap, in our previous work we proposed ROS-Causal, a ROS-based framework designed for onboard data collection and causal discovery in human-robot spatial interactions.

Causal Discovery Causal Inference

Efficient Causal Discovery for Robotics Applications

no code implementations23 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.

Causal Discovery

Qualitative Prediction of Multi-Agent Spatial Interactions

no code implementations30 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.

motion prediction

A Neuro-Symbolic Approach for Enhanced Human Motion Prediction

1 code implementation23 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).

Human motion prediction motion prediction +2

Causal Discovery of Dynamic Models for Predicting Human Spatial Interactions

no code implementations29 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.

Causal Discovery

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