Smaller and smarter autonomous robotics

Autonomous and semi-autonomous robotic systems — those systems capable of performing complex tasks without continuous human intervention — are smaller, more capable, and more prevalent than ever. These systems are almost universally mobile, whether aerial, terrestrial, or marine, and require not only a small, light form factor, but one with low power consumption and communications capability. In an effort to balance costs and requirements, roboticists often turn to single-board microcontrollers, such as the popular Arduino. Selecting such a microcontroller, with its requirement for “bare-metal programming,” may make sense in some subsystems, but complex behavior is not a realistic possibility without a modern operating system like Linux.

Fig. 1: Computer-on-module vs a microcontroller.

Computers-on-module (COMs) are the answer to providing high-level software functionality in a tiny package.  Available as compact, powerful, standardized platforms, COMs provide strong features in both hardware and software. They represent an excellent balance of physical and computational requirements. Whereas microcontrollers offer hardware-control at a low level with limited software capabilities, COMs using powerful application processors offer a familiar high-level Linux environment and modular, expandable hardware. Using COMs, engineers move much of the autonomous systems' artificial intelligence onto the robots themselves, advancing innovation within the field in diverse, unique, and interesting ways.

Unmanned aerial vehicles and quadrotors

Of all topics in contemporary autonomous robotics research, unmanned aerial vehicles (UAVs), including quadrotors, are the most discussed, imagination-capturing and, perhaps, have the most potential for practical application in the near future. The physical requirements of the vehicles demand small, light and low-power components. In the past year alone, thousands of articles have been published on research with UAVs in some form or another. The use of COMs varies immensely, from functioning as a visual subsystem for a remote operator to the complex task of autonomously piloting a UAV, communicating with others flying in cluster, all made possible by the versatility of the computers-on-module.

Inkyu Sa and Peter Corke, both of the Queensland University of Technology in Brisbane, Australia, developed a quadcopter system aimed at inspecting vertical infrastructure, as noted in their 2012 publication “Vertical Infrastructure Inspection Using a Quadcopter and Shared Autonomy Control.” Central to the design was partial autonomy, allowing an unskilled operator to conduct inspections. Sa and Corke employed a laser range finder on their quadcopter with a COM to run the standard Robot Operating System (ROS) laser scanner node, publishing scan results to a base station via Wi-Fi, while they navigated a utility pole to check its structural integrity. COMs that support ROS can be implemented as nodes in a broader solution, just as Sa and Corke have done with the quadcopter.

Fig. 2: The quadcopter system is aimed at inspecting vertical infrastructure.

In a similar peripheral usage, Cummings, Jackson, Quimby, and Pitman deployed a COM and a Summit expansion board as an inexpensive and effective video-streaming subsystem in a smartphone-based quadrotor control system for novice users. The quadrotor implemented a semi-autonomous flight system not unlike what was used by Sa and Corke, where the user has the ability to input waypoints and issue teleoperation commands, but cannot directly control the quadrotor. The COM's features were crucial in the subsystem providing a novice user with critical visual flight information. The COM's low power allowed it and an attached webcam to be powered with just four AAA batteries. The resulting weight of the entire system was only 215 g.

Finally in the field of UAVs, Martin Selecky and Tomas Meiser at Czech Technical University used COMs in a swarm of UAVs controlled by a modified version of the university's AgentFly system.

Fig. 3:  The AgentFly networked remote controlled craft for simulation of air traffic.

AgentFly is a multi-agent system for the simulation of air traffic written mostly in Java. A critical consideration for the COM was the ability to run a Java virtual machine. AgentFly's “plane agent” controller conducts hardware control of the UAV and provides the “pilot agent” with an interface for high-level control. The pilot agent is responsible for the UAV's reasoning — it calls the trajectory planner and handles the communication with other UAVs for the purposes of collision prevention and thus requires the processing power and communications capabilities offered by a COM.

Terrestrial autonomous robotics

Again at Czech Technical University, Microslav Kulich and his colleagues have developed SyRoTek, a system that is “an e-learning platform for [the distance teaching of] mobile robotics, artificial intelligence, control engineering, and related domains.” SyRoTek features an enclosed arena with thirteen terrestrial robots called S1Rs. Each S1R is controlled via WiFi by a main control computer, is monitored and visualized by a camera and video server subsystem and is user-accessible via a web-based task programming and management system. Users, who are mostly students, program their task over the web in either Player/Stage or ROS.

Finally, in marine robotics, Alexandra Gottschall, of the Florida Institute of Technology's Department of Marine and Environmental Science, designed and built an autonomous underwater glider for her undergraduate thesis. Gottschall noted that, while many commercial gliders exist, none were available for student research at FIT. Using a COM with an expansion board to control all functions of the vehicle, Gottschall was able to design a sophisticated, autonomous vehicle named Bumblebee. with Gottschall noting that “the strength of the system is the ability to be upgraded and expanded without in depth knowledge of the hardware layers or system specific programming techniques.”