Abstract

<div>Improvised Explosive Devices (IEDs) have been developed over the years across many nations around the world. IEDs used by terrorist actions and in warfare cause devastating death, injuries and damage. To protect the public, many emergency responders have to risk their lives by performing extremely hazardous tasks such as interacting with suspected IEDs. To prevent the emergency response teams from being negatively impacted by IEDs, many different kinds of response robots have been deployed in many locations worldwide – allowing first responders a safe way to interact with these menaces from a distance. This thesis contributes to the understanding of using robot arms with a Leader–Follower (LF) approach to help humans with performing dexterous operations like those which are inevitably required for manipulating IEDs remotely. The LF approach allows operators to remotely manipulate a robot arm without putting operators’ lives in danger. By physically controlling one arm from a safe distance, operators can successfully copy its movements to a second arm. As a result, we argue, this approach can be helpful for minimizing operator risk when interacting with suspicious devices while at the same time facilitating more intuitive remote control.</div>

Highlights

  • 1.1 The Evolution of Robot TechnologyAccording to [1], robotics is a branch of artificial intelligence which deals with the design, construction, operation, and application of robots

  • This chapter analyses experimental results from three test methods obtained from various levels of robotic experiences by users when performing a number of grasping, picking up and dropping tests in a controlled environment equipped with twin Kinova robot arms

  • We will discuss in more detail how different test methods can be used to measurably assess the manipulator grasping and dropping capability of a remotely teleoperated robot arm followed by a demonstration of the efficacy of the LF method in relation to other control strategies

Read more

Summary

Introduction

1.1 The Evolution of Robot TechnologyAccording to [1], robotics is a branch of artificial intelligence which deals with the design, construction, operation, and application of robots. This chapter analyses experimental results from three test methods obtained from various levels of robotic experiences by users when performing a number of grasping, picking up and dropping tests in a controlled environment equipped with twin Kinova robot arms. We will discuss in more detail how different test methods can be used to measurably assess the manipulator grasping and dropping capability of a remotely teleoperated robot arm followed by a demonstration of the efficacy of the LF method in relation to other control strategies. Timings to complete tasks are recorded as an average time to perform each task within each test mode that can produce different levels of completeness In this way, the final results are a compendium of average completion times and can be used to assess the relative effectiveness of various ways of controlling a robot arm

Objectives
Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.