
Paweł Gajewski- Doctor of Philosophy
- AGH University of Krakow
Paweł Gajewski
- Doctor of Philosophy
- AGH University of Krakow
About
9
Publications
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Introduction
Current institution
Publications
Publications (9)
This paper presents a novel hybrid algorithm designed to interpret natural human commands in tabletop scenarios. By integrating multiple sources of information, including speech, gestures, and scene context, the system extracts actionable instructions for a robot, identifying relevant objects and actions. The system operates in a zero-shot fashion,...
Artificial intelligence plays a crucial role in robotics, with reinforcement learning (RL) emerging as one of the most promising approaches for robot control. However, several key challenges hinder its broader application. First, many RL methods rely on online learning, which requires either real-world hardware or advanced simulation environments--...
Spoken language is the most natural way for a human to communicate with a robot. It may seem intuitive that a robot should communicate with users in their native language. However, it is not clear if a user’s perception of a robot is affected by the language of interaction. We investigated this question by conducting a study with twenty-three nativ...
Multi-purpose service robots must execute their tasks reliably in different situations, as well as learn from humans and explain their plans to them. We address these issues by introducing a knowledge representation scheme to facilitate skill generalization and explainability. This scheme allows representing knowledge of the robot’s understanding o...
Background
Since the outbreak of COVID-19 pandemic the interindividual variability in the course of the disease has been reported, indicating a wide range of factors influencing it. Factors which were the most often associated with increased COVID-19 severity include higher age, obesity and diabetes. The influence of cytokine storm is complex, refl...
We address the problem of executing tool-using manipulation skills in scenarios where the objects to be used may vary. We assume that point clouds of the tool and target object can be obtained, but no interpretation or further knowledge about these objects is provided. The system must interpret the point clouds and decide how to use the tool to com...
Two solid-solution strengthened alloys, (HAYNES® 230®, 617 alloy), two gamma - prime (γ') strengthened alloys, (263 and HAYNES® 282®) and Cr rich steels (309S, 310S and HR3C) were tested under 1 bar pressure in 100% steam at 800 °C for 3000 h. The steels showed better resistance in terms of corrosion behaviour, where no internal corrosion occurred....