- The complexities of football make it a difficult feat of artificial intelligence and autonomous technologies.
- The International RoboCup Association organizes robot football matches and publishes scientific papers on machine learning.
- Experts point out that advances in robotic football have major implications for other forms of automation.
In 1997, a computer program was named Dark blue Beat the world chess leader, Garry Kasparov, in a highly publicized chess match, lasting several days. Enthusiasts have discussed game justicebut the victory of the computer was head teacher for machine learning.
Today, researchers are using another game to develop artificial intelligence (AI) and automation: soccer.
Flexibility, strategy and teamwork required in football makes beautiful game It is a difficult and fruitful feat of artificial intelligence and autonomous technologies. The International Robotics Federation, which organizes robot football tournaments around the world, has long been spearheading such efforts.
“The RoboCup is a very special and uniquely inspiring event,” said Peter Stone, former president of RoboCup and CEO of Sony AI America, an artificial intelligence development and research company. “It integrates long-term and ambitious thinking about how AI and robotics can change the world with practical and immediate considerations regarding how we design, build and program prototypes and robots specifically designed for sensing, decision making, and behaving.”
Artificial intelligence (AI) affects all aspects of society – homes, businesses, schools, and even public spaces. But as technology advances rapidly, multi-stakeholder collaboration is required to improve accountability, transparency, privacy, and impartiality.
The World Economic Forum’s platform to shape the future of technology governance: AI and machine learning bring together diverse perspectives to drive innovation and create trust.
- One of the areas of work eligible to benefit from AI is human resources – including recruitment, talent retention, training, benefits, and employee satisfaction. The forum has created a toolkit Human Centered Artificial Intelligence for Human Resources To promote the positive and ethical use of human-centered AI for organizations, workers, and society.
- Children and youth today are growing up in an increasingly digital age in which technology is pervasive in every aspect of their lives. From robot games And social media for the classroom and home, AI is part of life. by developing AI standards for childrenThe Forum works with a range of stakeholders to develop practical guidance to educate, empower and protect children and youth in the age of artificial intelligence.
- The potential risks of AI could also affect the wider community. To mitigate risks, the Forum brings together more than 100 companies, government, civil society organizations, and academic institutions in Global Action Alliance for Artificial Intelligence To accelerate the adoption of responsible AI in the global public interest.
- Artificial intelligence is one of the most important technologies for business. To make sure C-suite executives understand its potential and risks, the forum has created a file Empowering AI Leadership: The AI C-Suite Toolkitwhich provides practical tools to help them understand the impact of AI on their roles and make informed decisions about AI strategy, projects and applications.
- Shaping the way AI is integrated into public sector procurement will help identify best practices that can be applied across the private sector. Forum created set of recommendations Designed to encourage widespread adoption, which will evolve with insights from a range of experiences.
- The center of the fourth industrial revolution in Rwanda She worked with the Ministry of Information, Communications Technology and Innovation to promote the adoption of new technologies in the country, and drive innovation in data policy and artificial intelligence – particularly in the healthcare field.
call us For more information on how to participate.
Under the RoboCup rules, each team must consist of completely independent robotic soccer players; Once the match starts, human coaches are not allowed to interact with the bot players. Stone, who is also the founder and director of the Learning Agents Research Group at the University of Texas at Austin in the US, noted that achievements in robot football have advanced a range of areas of artificial intelligence and machine learning. This includes human-robot interaction, computer vision and multi-agent systems, among others.
These developments are shared in RoboCup ندوة Seminarthe publishing arm of the organization that has so far produced hundreds of scientific papers detailing machine learning breakthroughs that have emerged from competitions.
RoboCup is always a huge challenge for AI and robotics and a training ground for the next generation
—Peter Stone, CEO of Sony AI America and former President of RoboCup
Soccer has also recently been used to develop artificial intelligence by researchers who have successfully created digital soccer players who learned the game as they faced each other in a computer simulation. The project was published in August in robotics sciencea peer-reviewed scientific journal – uses human motion data and other machine learning systems to enable players to perform and improve soccer skills.
“We addressed the integration of motor control and long-range decision-making in the context of human football simulation, which requires agile motor control and multi-agency coordination,” the research team wrote. “Our work is a complete showcase of the integrated decision-making process acquired at multiple levels in a multi-agent environment.”
“In many countries, we have populations that don’t have enough young people to care for the elderly. Robots will be the way this care can be provided to keep people active and in their homes for longer,” said Kay Firth Butterfield, Head of Artificial Intelligence and Machine Learning at the Economic Forum Globally, autonomous vehicles will provide mobility for older generations. Important real world applications It could start with creating a soccer bot where speed tests, machine vision and machine learning are vital to playing the game.”
For example, RoboCup has expanded its efforts to include new competitive leagues featuring independent service bots. This includes the RoboCup@Home league, which is focused on developing personal and local robotic service capabilities. The organization also hosts a RoboCup Rescue league where teams compete to develop advanced robotic tools for emergency responders. The last winner of this tournament was a research team from Kyoto University in Japan Search and rescue robot Show new ingenuity.
The intricacies inherent in football continue to make the RoboCup Football Tournament a leading source of inspiration and challenge for bots and AI researchers.
“Will football go the way of chess, checker, poker, jobardi, starcraft, gran turismo, and other human endeavors hitherto conquered by artificial intelligence? Or will the demands of real-world perception and human-like speed and agility keep it out of reach?” asked Stone. “This question remains a source of debate and uncertainty within the community.”
However, the RoboCup organizers maintain an ambitious goal: by the middle of the twenty-first century, a team of fully autonomous robot soccer players will face and win the World Cup.