Humanoids and the Future of Gambling Industries

Overview The intersection of artificial intelligence (AI) and gambling industries is changing the world of betting. Primarily, humanoids, which are robots designed to mimic human behavior, are the primary tools used in reshaping the gambling industry. According to Research and Markets, AI in the gambling industry is expected to grow at a CAGR of 35.9% between 2020 and 2027, driving substantial revenue for the industry. The significant growth rate comes with various effects that are revolutionizing the industry in several ways.

Humanoids in Casino Operations AI-driven humanoids are now being utilized in casinos for a range of tasks. A Gartner research indicates that by 2022, 85% of customer interactions would be managed without human intervention. These autonomous machines are being integrated into traditional casino models to enhance player interactions, with Japan taking the lead. Japanese companies have developed fully automated humanoid robots, such as Pepper, which are now being deployed across numerous casinos.

Intelligence Gambling Bots The development and utilization of intelligent gambling bots, a category of humanoid robots, have been on the rise. According to Deloitte, conversational AI, which includes gambling bots, will drive up to $112 billion in retail sales by 2023. These bots can interact with customers, informing them about betting odds and even suggesting betting options based on past data. Personality-infused bots are particularly effective in personalizing customer support, thus improving overall customer experience and engage in complex conversations around betting options.

Impact on Sports Betting The sports betting industry is another major beneficiary of developments in humanoids. With sports betting being an area where decisions are heavily influenced by data and statistics, the rapidly progressing AI technology is proving to be greatly influential. Predictive algorithms, powered by machine learning, enable the automation of predictive odds with up to 93% accuracy, according to a report by Entain.

Online Gambling Furthermore, the online betting industry is also experiencing the influence of AI. Humanoid bots are delivering interesting challenges and competitive experiences in online gambling games. A Mordor Intelligence report suggests a 13.2% CAGR for the online gambling market from 2020 to 2025. AI-driven opponent bots make the gaming experience more thrilling by learning from previous games and adapting to the style of the player.

Key Takeaways


To support the aforementioned use cases, 3Laws Robotics is developing innovative software to enhance safety and reliability for robotic systems. A primary focus of 3Laws is certification, a significant challenge for robotics companies. The company's software, 3Laws Supervisor, is designed to simplify this process by offering robust safety features and intricate system robustness evidence, easing the certification path.

Built on Control Barrier Functions (CBFs), a technology developed at Caltech, the 3Laws Supervisor provides mathematically provable safety. From warehouse automation, human-robot interaction, to dynamic environments, 3Laws' technology has numerous use cases across diverse industries and applications. One highlight is how an autonomous forklift customer achieved a 40% efficiency gain due to 3Laws' system, resulting in a 6-month payback period.

Moreover, the 3Laws system ensures uninterrupted operation of robots near humans, thus meeting the growing need for collaborative robotics solutions. Its reactive collision avoidance capabilities allow effective navigation in unpredictable surroundings.

By providing real-time guardrails for autonomy stacks, 3Laws allows robots to operate closer to their peak capabilities while maintaining safety. The software can work with a wide range of platforms, including mobile robots, cars, drones, and manipulators, and is compatible with popular robotics middleware such as ROS and ROS2.

3Laws offers a next-generation safety solution that surpasses traditional e-stop methods. It provides a proactive approach to safety, unlocking the full potential of robotics with dynamic, predictive safety, paving the way for easier certification for ISO 3691-4 and ISO 26262.






News in Robot Autonomy

News in Robot Autonomy