scholarly journals NeoN: Neuromorphic control for autonomous robotic navigation

2017 ◽  
Author(s):  
J. Parker Mitchell ◽  
Grant Bruer ◽  
Mark E. Dean ◽  
James S. Plank ◽  
Garrett S. Rose ◽  
...  
Keyword(s):  
Robotic Navigation ◽  
Autonomous Robotic Navigation

Finding learned obstacles to avoid collisions in autonomous robotic navigation

2017 ◽  
Author(s):  
Angel Sanchez Garcia ◽  
Homero Rios Figueroa ◽  
Antonio Marin Hernandez ◽  
Ericka Rechy Ramirez ◽  
David Oliva Uribe
Keyword(s):  
Robotic Navigation ◽  
Autonomous Robotic Navigation

scholarly journals Synthesis-Based Engineering of Supervisory Controllers for Autonomous Robotic Navigation

2021 ◽  
Vol 54 (2) ◽  
pp. 259-264
Author(s):  
J.W. Kok ◽  
E. Torta ◽  
M.A. Reniers ◽  
J.M. van de Mortel-Fronczak ◽  
M.J.G. van de Molengraft
Keyword(s):  
Robotic Navigation ◽  
Autonomous Robotic Navigation

scholarly journals Survey of pedestrian detection with occlusion

2020 ◽  
Author(s):  
Chen Ning ◽  
Li Menglu ◽  
Yuan Hao ◽  
Su Xueping ◽  
Li Yunhong
Keyword(s):  
Traditional Method ◽  
Pedestrian Detection ◽  
Real Life ◽  
Research Progress ◽  
Robotic Navigation ◽  
Automotive Safety ◽  
Detection Technology ◽  
Autonomous Robotic Navigation ◽  
Main Ideas ◽  
Method Model

Abstract Pedestrian detection is widely applied in surveillance, autonomous robotic navigation, and automotive safety. However, there are many occlusion problems in real life. This paper summarizes the research progress of pedestrian detection technology with occlusion. First, according to different occlusion, it can be divided into two categories: inter-class occlusion and intra-class occlusion. Second, it summarizes the traditional method and deep learning method to deal with occlusion. Furthermore, the main ideas and core problems of each method model are analyzed and discussed. Finally, the paper gives an outlook on the problems to be solved in the future development of pedestrian detection technology with occlusion.

scholarly journals An Algorithmic Approach to Adapting Edge-based Devices for Autonomous Robotic Navigation

2021 ◽  
pp. 170559
Author(s):  
Mbadiwe Benyeogor ◽  
Kosisochukwu Nnoli ◽  
Oladayo Olakanmi ◽  
Olusegun Lawal ◽  
Eric Gratton ◽  
...  
Keyword(s):  
Robotic Navigation ◽  
Algorithmic Approach ◽  
Autonomous Robotic Navigation ◽  
Edge Based

scholarly journals Machine Vision and Global Positioning System for Autonomous Robotic Navigation in Agriculture: A Review

2017 ◽  
Vol 1 (1) ◽  
pp. 46
Author(s):  
Reza Rahmadian ◽  
Mahendra Widyartono
Keyword(s):  
Machine Vision ◽  
Global Positioning System ◽  
Autonomous Navigation ◽  
Positioning System ◽  
Robotic Navigation ◽  
Human Errors ◽  
Agricultural Robots ◽  
Gps Technology ◽  
Global Positioning ◽  
Autonomous Robotic Navigation

Interest on robotic agriculture system has led to the development of agricultural robots that helps to improve the farming operation and increase the agriculture productivity. Much research has been conducted to increase the capability of the robot to assist agricultural operation, which leads to development of autonomous robot. This development provides a means of reducing agriculture’s dependency on operators, workers, also reducing the inaccuracy caused by human errors. There are two important development components for autonomous navigation. The first component is Machine vision for guiding through the crops and the second component is GPS technology to guide the robot through the agricultural fields.

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