Paper
25 May 2012 Control solutions for robots using Android and iOS devices
A. William Evans III, Jeremy P. Gray, Dave Rudnick, Robert E. Karlsen
Author Affiliations +
Abstract
As more Soldiers seek to utilize robots to enhance their mission capabilities, controls are needed which are intuitive, portable, and adaptable to a wide range of mission tasks. Android™ and iOS™ devices have the potential to meet each of these requirements as well as being based on readily available hardware. This paper will focus on some of the ways in which an Android™ or iOS™ device could be used to control specific and varied robot mobility functions and payload tools. Several small unmanned ground vehicle (SUGV) payload tools will have been investigated at Camp Pendleton during a user assessment and mission feasibility study for automatic remote tool changing. This group of payload tools will provide a basis, to researchers, concerning what types of control functions are needed to fully utilize SUGV robotic capabilities. Additional, mobility functions using tablet devices have been used as part of the Safe Operation of Unmanned systems for Reconnaissance in Complex Environments Army Technology Objective (SOURCE ATO) which is investigating the safe operation of robotics. Using Android™ and iOS™ hand-held devices is not a new concept in robot manipulation. However, the authors of this paper hope to introduce some novel concepts that may serve to make the interaction between Soldier and machine more fluid and intuitive. By creating a better user experience, Android™ and iOS™ devices could help to reduce training time, enhance performance, and increase acceptance of robotics as valuable mission tools for Soldiers.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. William Evans III, Jeremy P. Gray, Dave Rudnick, and Robert E. Karlsen "Control solutions for robots using Android and iOS devices", Proc. SPIE 8387, Unmanned Systems Technology XIV, 83870M (25 May 2012); https://doi.org/10.1117/12.923023
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CITATIONS
Cited by 5 scholarly publications and 3 patents.
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KEYWORDS
Control systems

Robots

Video

Tablets

Cameras

Sensors

3D video streaming

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