Editorial Feature

How Are Robotic Systems Redefining Judging in the Olympics?

In Olympic sports, where fractions of a second and minute details often determine the difference between victory and defeat, the accuracy and fairness of judging are paramount. As the competitions intensify and the demand for precise adjudication rises, automated judging systems powered by robotics have emerged as critical tools. These systems ensure that outcomes are determined without human error, bias, or delay, providing a level playing field for all athletes.

Robotic Systems Redefine Judging in the Olympics

Image Credit: kovop/Shutterstock.com

Historical Background

The integration of robotics into Olympic judging is a relatively recent development, reflecting advancements in technology and the increasing sophistication of sports analytics. Early uses of technology in sports included electronic timing systems introduced in the mid-20th century, primarily for track and field events. The transition from manual to electronic timing marked the first significant step towards automation in sports judging.1

The 2008 Beijing Olympics saw the introduction of more sophisticated technologies, including motion capture and analysis systems used in gymnastics and other precision-based sports. These systems provided judges with detailed biomechanical data, aiding in more accurate scoring. The 2012 London Olympics further advanced this trend with the implementation of Hawk-Eye technology in sports like tennis and volleyball, offering real-time ball tracking and line-calling.1

Similarly, the Tokyo 2020 Olympics marked a significant milestone in the evolution of automated judging systems. For the first time, a smartwatch application and ecosystem were employed to collect, process, and transmit a wide range of physiological, biomechanical, bioenergetic, and environmental data using cloud-based services. Building on Tokyo's successes, the Paris 2024 Olympics have featured even more advanced robotic judging systems, some of which are explored below.

What is the Future of AI in Robotics?

From Gymnastics to Boxing: Enhancing Sports Judging with Robotics

Advancements in robotic judging systems have revolutionized the precision and fairness of Olympic competitions. These technologies, utilizing AI and real-time data analysis, enhance the accuracy of scoring, reduce human error, and ensure consistent evaluations across various sports disciplines.

Gymnastics: Precision and Consistency

In gymnastics, where routines are judged based on a multitude of criteria, including form, execution, and difficulty, robotic systems have significantly enhanced judging accuracy. The 2020 Tokyo Olympics introduced AI-powered judging systems developed by Fujitsu. These systems utilized three-dimensional (3D) laser sensors and AI algorithms to capture and analyze the movements of gymnasts, providing objective scores based on biomechanics. This reduced the potential for human bias and inconsistencies in scoring, ensuring fairer outcomes.2

These AI systems can evaluate a gymnast’s performance in real-time, breaking down each element of their routine with unprecedented precision. By comparing the biomechanical data against a database of movements, the system can accurately assess deductions for form and execution errors. This massive leap in technological advancement not only promotes fairness but also supports coaches and athletes by providing detailed feedback on performance, enabling targeted improvements.

Swimming: Eliminating Margins of Error

Swimming events have historically relied on electronic touchpads to record finish times. However, advancements have integrated high-speed cameras and AI to review race finishes. During the 2020 Tokyo Olympics, the use of Omega's Quantum Timer and Myria camera system ensured that even the slightest touch of the pad was recorded accurately, eliminating the possibility of human error in determining winners. This technology also assisted in stroke analysis, providing insights into swimmer performance.1

In addition to precision timing, these systems analyze swimmers’ movements throughout the race, identifying key moments where performance can be optimized. Coaches and athletes can leverage this data to refine techniques and strategies, enhancing overall competitiveness. The implementation of such advanced technology underscores the commitment to accuracy and fairness in Olympic judging, ensuring that the best athlete truly wins.

Track and Field: Enhancing Accuracy in Measurements

Track and field events have greatly benefited from robotic systems, particularly in measuring distances for events like the long jump, triple jump, and javelin throw. The use of laser-guided measurement systems and drones provides precise measurements quickly and accurately. These systems minimize delays and increase the efficiency of event management, ensuring that results are beyond reproach.1

These technologies enable instant verification of distances and heights, reducing the risk of human error and the potential for disputes. The use of drones for real-time monitoring also allows for immediate feedback and adjustments during events, helping to streamline operations and maintain the integrity of the competition. This seamless integration of robotics in track and field highlights the importance of precision in athletic performance assessment.

Archery and Shooting: Perfect Aim

When it comes to archery and shooting events, precise scoring is a major requirement, as a little as a millimeter can be the difference between gold and silver medal. Robotic systems equipped with advanced imaging and laser technology have revolutionized these sports. The Kongsberg Target System (KTS), for example, employs electronic scoring targets that detect and display shot placements with unparalleled accuracy. This technology not only ensures fair play but also enhances the spectator experience by providing real-time scoring updates.3

These systems utilize high-resolution sensors to detect the exact point of impact, instantly transmitting data to scoring systems and display screens. This real-time feedback allows athletes to adjust their techniques on the fly, promoting continuous improvement and competitive excellence. The transparency and accuracy offered by robotic systems in archery and shooting set a new standard for fairness and objectivity in Olympic judging.

Boxing: Fairness in Combat Sports

In boxing, AI-based systems have been developed to ensure fairness in scoring. Recently, researchers developed a video assistant referee system for boxing that leverages AI to recognize landed punches through video feed, sound, and touch. This tool analyses punch accuracy, impact, and frequency, providing an additional layer of verification to human scoring. This advancement aimed to eliminate controversies and ensure that deserving athletes were fairly judged.4

These AI systems offer real-time analysis of boxing matches, breaking down each round with meticulous detail. By cross-referencing judges' scores with objective data, the system helps identify and rectify potential biases or errors, ensuring that outcomes reflect true performance. This integration of robotics in boxing exemplifies the potential for technology to enhance fairness and transparency in sports adjudication.5

An Introduction to Automation in Industry

Challenges and Considerations

Despite the numerous advantages, the implementation of robotic judging systems in the Olympics faces several challenges. Ensuring the reliability and accuracy of these systems is paramount, as any malfunction or technical glitch can lead to incorrect results, potentially impacting the outcomes of events.6

Regular maintenance, testing, and updates are thus essential to maintain the integrity of these systems. Balancing the input from automated systems with human expertise and intuition can be challenging, requiring well-defined protocols and training for judges.6

Additionally, the deployment of advanced robotic systems is costly, which can be a barrier to widespread adoption. Ensuring that all Olympic venues and events have access to such technology requires significant investment.6 The use of AI and robotic systems raises ethical questions regarding transparency, data privacy, and the potential for biases in algorithmic decisions. Ensuring that these systems are developed and implemented ethically is crucial to maintaining trust in their outcomes.6

Latest in Robotic Judging Systems

As technology evolves, robotic judging systems continue to improve in accuracy and functionality. Recent studies highlight these advancements, demonstrating their impact on various sports.

A study published in the Journal of the Association for Information Systems demonstrated the efficacy of AI-powered computer-vision-based judging-support system (JSS) in gymnastics. Utilizing 3D laser sensors, the system captured athletes' movements in real-time and provided scores based on biomechanical analysis. The researchers found that this technology reduced scoring discrepancies, offering a more consistent and fair judging process. This advancement is pivotal for a sport where subjective judgments have traditionally played a significant role.2

Another study by Metropolia University of Applied Sciences evaluated the performance of the Quantum Timer and Myria camera system in swimming events. The study concluded that these technologies enhanced the accuracy of race finishes by capturing even the slightest touches on the electronic touchpads. This innovation eliminated human error and provided athletes with reliable and precise results. The integration of high-speed cameras also contributed to a more comprehensive analysis of swimmers' techniques and race strategies.6

Future Prospects and Conclusion

The future of robotic judging systems in the Olympics is only expected to expand as AI, sensor technology, and data analytics continue to advance. These systems are expected to become more integrated and sophisticated, providing even greater accuracy and fairness in judging. Some such innovations on the horizon include real-time performance analysis, predictive modeling, and enhanced spectator experiences.

In conclusion, up until now, the role of robotics in Olympic judging has been transformative, offering unparalleled accuracy, consistency, and fairness. As technology continues to evolve, these systems will likely play an increasingly crucial role in ensuring that the Olympic games remain the pinnacle of athletic competition, where the true spirit of sportsmanship is upheld.

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References and Further Reading

  1. Doulton, R. (2021). Omega’s Gold Medal Olympic Timekeeping Equipment - Monochrome Watches. Monochrome Watcheshttps://monochrome-watches.com/omegas-gold-medal-olympic-timekeeping-equipment/
  2. Benbya, H. et al. (2021). Special Issue Editorial: Artificial Intelligence in Organizations: Implications for Information Systems Research. Journal of the Association for Information Systems, 22(2).
    DOI:10.17705/1jais.00662
    https://aisel.aisnet.org/jais/vol22/iss2/10
  3. Extends partnership with Olympiatoppen: Aims for Olympic gold in 2024 and 2028. (2024). KONGSBERG - Protecting People and Planet. https://www.kongsberg.com/newsroom/news-archive/2024/kongsberg-aims-for-olympic-gold-in-2024-and-2028/
  4. Ilomäki, L. (2024). Developing an AI-Powered Referee System for Boxing: Integrating Sensor Data and Machine Learning for Punch Recognition. Satakunta University of Applied Sciences (Theseus). https://www.theseus.fi/handle/10024/864909
  5. Binner, A. (2020). How boxing scoring will work for the Olympic qualification tournaments. Olympics.com. https://olympics.com/en/news/boxing-scoring-tokyo-2020-olympics
  6. Zaman, S. (2023). Comprehensive Study on Sports Technology. Metropolia University of Applied Sciences (Theseus)https://www.theseus.fi/bitstream/handle/10024/797552/Zaman_Saadat.pdf

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Ankit Singh

Written by

Ankit Singh

Ankit is a research scholar based in Mumbai, India, specializing in neuronal membrane biophysics. He holds a Bachelor of Science degree in Chemistry and has a keen interest in building scientific instruments. He is also passionate about content writing and can adeptly convey complex concepts. Outside of academia, Ankit enjoys sports, reading books, and exploring documentaries, and has a particular interest in credit cards and finance. He also finds relaxation and inspiration in music, especially songs and ghazals.

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