February 29, 2024

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Tiny Robot from USA Breaks Speed Record with AI

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The United States’ National Science Foundation backs the researcher from the Massachusetts Institutes of Technology (MIT) who made the robotic mini-cheetah to run rapidly through AI and machine learning. The robot cheetah broke the record for the quickest run by adapting to terrain variations through simulation.

The scientists trained the robot cheetah using a “learn by experience” technique. Humans have created robots that can walk, lift, and jump, but quick and efficient running is not one of them. Until now, that is. Running necessitates robots to respond quickly to changes in the environment and terrain.

The team taught the robot cheetah how to adapt to changes in its environment while in motion using the learn by experience paradigm, artificial intelligence, and machine learning. Using simulated scenarios, the robot can quickly experience and learn from varied terrains.

According to the researchers, manually training robots to adapt is a time-consuming, labour-intensive, and tiresome process. The experts believe that teaching robots to teach themselves could solve the scalability problem and allow robots to develop a broader set of abilities and tasks. They have now begun to apply their method to a broader range of robotic systems.

Researchers from MIT’s Improbable AI Lab, part of the Computer Science and Artificial Intelligence Laboratory (CSAIL) and directed by MIT Assistant Professor Pulkit Agrawal along with the Institute of AI and Fundamental Interactions (IAIFI) have been working together. Meanwhile, MIT PhD student Gabriel Margolis and IAIFI postdoc Ge Yang demonstrated the cheetah’s speed.

Fast running necessitates pushing the hardware to its limitations, such as operating near the maximum torque output of motors. In such cases, the robot dynamics are difficult to represent analytically. The robot must react swiftly to changes in the environment, such as when it comes into contact with ice while running on grass.

When the robot walks, it moves slowly, and the presence of snow is usually not an issue. Consider how you could negotiate practically any terrain if you walked slowly but carefully. Today’s robots confront a similar dilemma. The issue is that travelling across all terrains as if walking on ice is wasteful, but it is widespread among today’s robots. Humans adapt by running swiftly on grass and slowing down on ice.

Giving robots similar adaptability necessitates rapid detection of terrain changes and rapid adaptation to prevent the robot from falling over. In general, high-speed running is more difficult than walking because it is hard to create analytical (human-designed) models of all potential terrains in advance, and the robot’s dynamics become more complex at high speeds.

Programming a robot’s actions is tough, according to researchers. Human engineers must manually alter the robot’s controller if it fails on a particular terrain. However, humans no longer need to programme robots’ every move if the robot can explore many terrains and improve with practice.

Researchers added that the modern simulation tools allow the robot to gain 100 days of experience in just three hours. They also developed a method by which a robot’s behaviour improves from simulated experience and is successfully deployed in the actual world. The robot’s running talents function in the actual world because some of the simulator’s environments teach it real-world skills. The controller finds and executes essential talents in real-time.

Artificial intelligence research balances what humans must develop with what machines can learn on their own. Humans tell robots what to do and how to accomplish it. Such a system isn’t scalable because it would take significant human engineering effort to manually design a robot to operate in numerous contexts.

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Qlik’s vision is a data-literate world, where everyone can use data and analytics to improve decision-making and solve their most challenging problems. A private company, Qlik offers real-time data integration and analytics solutions, powered by Qlik Cloud, to close the gaps between data, insights and action. By transforming data into Active Intelligence, businesses can drive better decisions, improve revenue and profitability, and optimize customer relationships. Qlik serves more than 38,000 active customers in over 100 countries.

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CTC Global Singapore, a premier end-to-end IT solutions provider, is a fully owned subsidiary of ITOCHU Techno-Solutions Corporation (CTC) and ITOCHU Corporation.

Since 1972, CTC has established itself as one of the country’s top IT solutions providers. With 50 years of experience, headed by an experienced management team and staffed by over 200 qualified IT professionals, we support organizations with integrated IT solutions expertise in Autonomous IT, Cyber Security, Digital Transformation, Enterprise Cloud Infrastructure, Workplace Modernization and Professional Services.

Well-known for our strengths in system integration and consultation, CTC Global proves to be the preferred IT outsourcing destination for organizations all over Singapore today.

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Planview has one mission: to build the future of connected work. Our solutions enable organizations to connect the business from ideas to impact, empowering companies to accelerate the achievement of what matters most. Planview’s full spectrum of Portfolio Management and Work Management solutions creates an organizational focus on the strategic outcomes that matter and empowers teams to deliver their best work, no matter how they work. The comprehensive Planview platform and enterprise success model enables customers to deliver innovative, competitive products, services, and customer experiences. Headquartered in Austin, Texas, with locations around the world, Planview has more than 1,300 employees supporting 4,500 customers and 2.6 million users worldwide. For more information, visit www.planview.com.

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SIRIM is a premier industrial research and technology organisation in Malaysia, wholly-owned by the Minister​ of Finance Incorporated. With over forty years of experience and expertise, SIRIM is mandated as the machinery for research and technology development, and the national champion of quality. SIRIM has always played a major role in the development of the country’s private sector. By tapping into our expertise and knowledge base, we focus on developing new technologies and improvements in the manufacturing, technology and services sectors. We nurture Small Medium Enterprises (SME) growth with solutions for technology penetration and upgrading, making it an ideal technology partner for SMEs.

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HashiCorp provides infrastructure automation software for multi-cloud environments, enabling enterprises to unlock a common cloud operating model to provision, secure, connect, and run any application on any infrastructure. HashiCorp tools allow organizations to deliver applications faster by helping enterprises transition from manual processes and ITIL practices to self-service automation and DevOps practices. 

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IBM is a leading global hybrid cloud and AI, and business services provider. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity and service.

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