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Robots Can Multitask Too: Integrating a Memory Architecture and LLMs for Enhanced Cross-Task Robot Action Generation
Large Language Models (LLMs) have been recently used in robot applications for grounding LLM commonsense reasoning with the robot’s …
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Detection of Vascular Leukoencephalopathy in CT Images
Artificial intelligence (AI) has seen a significant surge in popularity, particularly in its application to medicine. This study …
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When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration
We investigate the use of Large Language Models (LLMs) to equip neural robotic agents with human-like social and cognitive …
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Robust Self-Calibration of Focal Lengths from the Fundamental Matrix
The problem of self-calibration of two cameras from a given fundamental matrix is one of the basic problems in geometric computer …
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A method for estimating roadway billboard salience
Roadside billboards and other forms of outdoor advertising play a crucial role in marketing initiatives; however, they can also …
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Robotic Imitation of Human Actions
Imitation can allow us to quickly gain an understanding of a new task. Through a demonstration, we can gain direct knowledge about …
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Executable Multi-Layered Software Models
This paper introduces a novel software visualisation and animation method, manifested in a prototype software tool - AnimArch. The …
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Sketch it for the Robot! How Child-Like Robots' Joint Attention Affects Humans' Drawing Strategies
The work proposes investigating drawing activities in interactive contexts to shed light on the links between socio-cognitive and …
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RecViT: Enhancing Vision Transformer with Top-Down Information Flow
We propose and analyse a novel neural network architecture — recurrent vision transformer (RecViT). Building upon the popular vision …
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Enhancement of 3D Camera Synthetic Training Data with Noise Models
The goal of this paper is to assess the impact of noise in 3D camera-captured data by modeling the noise of the imaging process and …
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