How will we do it? Student competitions will fuel the autonomous robotics workforce. 
GUEST COLUMN | by Sebastian Castro
Autonomous industrial robots
 are the way of the future. The International Federation of Robotics 
expects the number of industrial robots deployed worldwide to increase 
to around 2.6 million by 2019—about one million units more than in the record-breaking year of 2015. 
In
 the face of such growth, the stationary industrial robots of today will
 eventually be replaced by more versatile mobile manipulation systems – 
that is, robots that are able to grasp objects as well as move around an
 industrial space
It
 can be challenging for industry to dedicate the resources required to 
support the research and development of emerging technologies that 
enable full autonomy.
Student
 competitions, such as RoboCupIndustrial, are offering a solution by 
accelerating research and development of autonomous industrial robots 
with technologies like motion planning, computer vision, and machine 
learning.
The
 competition, with support from corporate sponsors, provides a test 
center for students to gain experience with real-world hardware and 
software design tools as they build their autonomous industrial robots.
The
 insights the participants’ research uncovers can then be leveraged by 
industry and help further the development of a commercially available 
autonomous workforce. 
Accelerating Research and Development of Emerging Technologies 
In
 the RoboCupIndustrial competition, students design autonomous robots 
that can perceive their environment and provide increased input and 
output with superhuman consistency while accomplishing more diverse 
tasks—tasks the prior generation of stationary robots could not 
accomplish.
Student
 teams in RoboCupIndustrial are typically supported by research labs or 
companies, and their competition work has the potential of becoming 
trendsetting technology that can influence how commercial products are 
designed.
The
 students are at the forefront of integrating emerging technologies such
 as deep learning and reinforcement learning into their designs, 
enabling the robots to “learn” on the job. Two competitions under the 
RoboCupIndustrial umbrella, RoboCup@Work and RoboCup Logistics League,
 illustrate how student competitors are driving the research and 
development of a potentially fully autonomous workforce by designing 
intelligent robots. 
 During
 RoboCup@Work, students design robots that can navigate their 
environment and perform tasks that mimic an actual assembly or factory 
process. These fully mobile robots can manipulate objects and perform 
complicated functions like transporting materials, picking materials off
 conveyor belts, and handling precision parts placement.
During
 RoboCup@Work, students design robots that can navigate their 
environment and perform tasks that mimic an actual assembly or factory 
process. These fully mobile robots can manipulate objects and perform 
complicated functions like transporting materials, picking materials off
 conveyor belts, and handling precision parts placement. 
RoboCup
 Logistics League challenges competitors to synchronize multiple 
autonomous robots by enabling them to communicate with each other and 
choreograph tasks to achieve common goals like packing boxes or 
processing orders.
Industry and Competition Collaboration
Because
 industry benefits from these competitions, companies are increasingly 
providing students with support to accelerate their research efforts. 
RoboCupIndustrial sponsors, such as MathWorks, provide students with 
real-world hardware and software tools, like MATLAB,
 and technical expertise, which helps simplify complex concepts and 
limits the amount of time spent on basic coding. Access to such tools 
also allows competition teams to spend more time implementing their 
algorithms and writing papers or developing new approaches to robotics 
design.  
Companies
 benefit by receiving feedback on their tools and getting insights into 
how students use them in their robot designs. These insights can be 
leveraged across the company, shared with other research organizations, 
and incorporated into their product development workflows.
The
 collaboration between student competitions and industry is driving the 
research of commercially viable, fully autonomous industrial robots. 
Student teams and the insights they provide to sponsoring companies 
further robotics product development efforts and move us closer to 
robots that provide practical commercial applications. Such partnerships
 are opening a path to a more fully autonomous robotics future.
—
Sebastian Castro is a multidisciplinary robotics engineer with a passion for education and lifelong learning. He is an education evangelist at MathWorks,
 preparing and supporting next generation scientists and engineers with 
software, training, and mentoring to tackle the same technical issues as
 professional engineers. His interests include modeling and simulation, 
control systems, computer vision, AI, and software development. Contact 
him through LinkedIn.