[HTML][HTML] Classical and deep learning based visual servoing systems: a survey on state of the art
Z Machkour, D Ortiz-Arroyo, P Durdevic - Journal of Intelligent & Robotic …, 2022 - Springer
Computer vision, together with bayesian estimation algorithms, sensors, and actuators, are
used in robotics to solve a variety of critical tasks such as localization, obstacle avoidance …
used in robotics to solve a variety of critical tasks such as localization, obstacle avoidance …
Scientific and technological challenges in robocup
M Asada, O von Stryk - Annual Review of Control, Robotics, and …, 2020 - annualreviews.org
Since its inception in 1997, RoboCup has developed into a truly unique and long-standing
research community advancing robotics and artificial intelligence through various …
research community advancing robotics and artificial intelligence through various …
XYOLO: A model for real-time object detection in humanoid soccer on low-end hardware
With the emergence of onboard vision processing for areas such as the internet of things
(IoT), edge computing and autonomous robots, there is increasing demand for …
(IoT), edge computing and autonomous robots, there is increasing demand for …
JET-Net: real-time object detection for mobile robots
B Poppinga, T Laue - RoboCup 2019: Robot World Cup XXIII 23, 2019 - Springer
In most applications for autonomous robots, the detection of objects in their environment is of
significant importance. As many robots are equipped with cameras, this task is often solved …
significant importance. As many robots are equipped with cameras, this task is often solved …
A real-time ball detection approach using convolutional neural networks
Ball detection is one of the most important tasks in the context of soccer-playing robots. The
ball is a small moving object which can be blurred and occluded in many situations. Several …
ball is a small moving object which can be blurred and occluded in many situations. Several …
Closing the simulation-to-reality gap using generative neural networks: Training object detectors for soccer robotics in simulation as a case study
N Cruz, J Ruiz-del-Solar - 2020 International Joint Conference …, 2020 - ieeexplore.ieee.org
In order to address the simulation-to-reality-gap, in this paper a methodology for the real-
time generation of realistic images in robotic simulation environments is proposed. The …
time generation of realistic images in robotic simulation environments is proposed. The …
Utilizing temporal information in deep convolutional network for efficient soccer ball detection and tracking
Soccer ball detection is identified as one of the critical challenges in the RoboCup
competition. It requires an efficient vision system capable of handling the task of detection …
competition. It requires an efficient vision system capable of handling the task of detection …
An open source vision pipeline approach for robocup humanoid soccer
We are proposing an Open Source ROS vision pipeline for the RoboCup Soccer context. It is
written in Python and offers sufficient precision while running with an adequate frame rate on …
written in Python and offers sufficient precision while running with an adequate frame rate on …
[PDF][PDF] Object detection on robosoccer environment using convolution neural network
D Steffi, S Mehta, V Venkatesh - Indonesian Journal of Electrical …, 2022 - academia.edu
Robots with autonomous capabilities depend on vision capabilities to detect and interact
with objects and their environment. In the field of robotic research, one of the focus areas is …
with objects and their environment. In the field of robotic research, one of the focus areas is …
Structural pruning for real-time multi-object detection on NAO robots
In this paper, we propose a real-time multi-class detection system for the NAO V6 robot in
the context of RoboCup SPL (Standard Platform League) using state-of-the-art structural …
the context of RoboCup SPL (Standard Platform League) using state-of-the-art structural …