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Human–robot interaction through eye tracking for artistic drawing
In this paper, authors present a novel architecture for controlling an industrial robot via an
eye tracking interface for artistic purposes. Humans and robots interact thanks to an …
eye tracking interface for artistic purposes. Humans and robots interact thanks to an …
Adaptive fuzzy neural network-based finite time prescribed performance control for uncertain robotic systems with actuator saturation
This paper investigates an adaptive fuzzy controller prescribed performance for uncertain
robot systems with actuator saturation. To mitigate the impact of model uncertainty and …
robot systems with actuator saturation. To mitigate the impact of model uncertainty and …
[HTML][HTML] HSV color-space-based automated object localization for robot gras** without prior knowledge
HC Kang, HN Han, HC Bae, MG Kim, JY Son, YK Kim - Applied Sciences, 2021 - mdpi.com
We propose a simple and robust HSV color-space-based algorithm that can automatically
extract object position information without human intervention or prior knowledge. In …
extract object position information without human intervention or prior knowledge. In …
Classification of ultrasound pcos image using deep learning based hybrid models
Polycystic Ovary Syndrome or (PCOS) is one of the medical disorders that affect female
pregnancy. High levels of androgens in women are the root cause of the symptoms that …
pregnancy. High levels of androgens in women are the root cause of the symptoms that …
[HTML][HTML] Communication and control of an assembly, disassembly and repair flexible manufacturing technology on a mechatronics line assisted by an autonomous …
This paper aims to describe modeling and control in what concerns advanced
manufacturing technology running on a flexible assembly, disassembly and repair on a …
manufacturing technology running on a flexible assembly, disassembly and repair on a …
Clipswarm: Generating drone shows from text prompts with vision-language models
This paper introduces CLIPSwarm, a new algorithm designed to automate the modeling of
swarm drone formations based on natural language. The algorithm begins by enriching a …
swarm drone formations based on natural language. The algorithm begins by enriching a …
[HTML][HTML] Deep robot sketching: an application of deep Q-learning networks for human-like sketching
The current success of Reinforcement Learning algorithms for its performance in complex
environments has inspired many recent theoretical approaches to cognitive science. Artistic …
environments has inspired many recent theoretical approaches to cognitive science. Artistic …
Robotic sponge and watercolor painting based on image-processing and contour-filling algorithms
In this paper, the implementation of a robotic painting system using a sponge and the
watercolor painting technique is presented. A collection of tools for calibration and sponge …
watercolor painting technique is presented. A collection of tools for calibration and sponge …
Comparing neural style transfer and gradient-based algorithms in brushstroke rendering tasks
Non-photorealistic rendering (NPR) with explicit brushstroke representation is essential for
both high-grade imitating of artistic paintings and generating commands for artistically …
both high-grade imitating of artistic paintings and generating commands for artistically …
Artistic robotic arm: Drawing portraits on physical canvas under 80 seconds
In recent years, the field of robotic portrait drawing has garnered considerable interest, as
evidenced by the growing number of researchers focusing on either the speed or quality of …
evidenced by the growing number of researchers focusing on either the speed or quality of …