Image Processing Intelligence Analysis for Robo-Res 1.0: A Part of Humanoid Rescue-Robot

Image processing along with multiple algorithms holds significance in rescue mission. With the modern technologies of image processing, the scope to rescue helpless people has become high, even where human can not reach. It has become more useful for unmanned aerial rescue robots and automated search-based rescue robots. Sometimes human eye can miss clues but with accurate programming, image processable eye does not miss even a single one. In this research, that type of image processing feature holds an important vision for “Robo-Res version 1.0”. Robo-Res version 1.0 is an experimental prototype of humanoid rescue-robot, that also has been implemented in this research. It will lead rescue operation on the impassable situations for human.

[1]  Junhao Xiao,et al.  The design of a fully autonomous robot system for urban search and rescue , 2016, 2016 IEEE International Conference on Information and Automation (ICIA).

[2]  Shamik Sengupta,et al.  Search and Rescue Operations with Mesh Networked Robots , 2018, 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

[3]  Aashvij Shenai,et al.  Development of In-Pipe Robot for Assisting Borewell Rescue Operations , 2018, 2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C).

[4]  Lorenzo Marconi,et al.  Ground and aerial robots as an aid to alpine search and rescue: Initial SHERPA outcomes , 2013, 2013 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR).

[5]  S. Roy,et al.  Autonomous robot coverage in rescue operation , 2013, 2013 International Conference on Computer Communication and Informatics.

[6]  Junhao Xiao,et al.  A novel human-robot interaction system based on 3D mapping and virtual reality , 2017, 2017 Chinese Automation Congress (CAC).

[7]  F. Matsuno,et al.  Map-based Navigation Interface for Multiple Rescue Robots , 2008, 2008 IEEE International Workshop on Safety, Security and Rescue Robotics.

[8]  Fumitoshi Matsuno,et al.  Flexible interface for multiple autonomous and teleoperated rescue robots , 2009, 2008 IEEE International Conference on Robotics and Biomimetics.

[9]  Tae-Yong Choi,et al.  Design of high payload dual arm robot with modifiable forearm module depending on mission , 2017, 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).

[10]  Andrew Chiou,et al.  Urban Search and Rescue Robots in Test Arenas: Scaled Modeling of Disasters to Test Intelligent Robot Prototyping , 2009, 2009 Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing.

[11]  Jian Xiao,et al.  Design and implement of rescue robot control system based on wireless network , 2010, 2010 International Conference on Anti-Counterfeiting, Security and Identification.

[12]  Erkan Uslu,et al.  Design and implementation of an outdoor line follower robot for RoboCup search and rescue league , 2017, 2017 25th Signal Processing and Communications Applications Conference (SIU).

[13]  Hemlata Dakhore,et al.  Design approach of visual image detection in rescue robot system of urban search using Bayesian's logical algorithm , 2015, 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS).

[14]  Design of Motion Control System of Rescue Robot Based on ARM , 2017, 2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC).

[15]  Hadi Pouransari,et al.  Intelligent rescuer robot for detecting victims accurately in natural disasters , 2015, 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI).

[16]  Thomas Fincannon,et al.  Evidence of the need for social intelligence in rescue robots , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).