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KEY TAKEAWAYS

•   Future robots may be useful for improving the US manufacturing base, reducing supply chain vulnerabilities, delivering eldercare, enhancing food production, tackling the housing shortage, improving energy sustainability, and performing almost any task involving physical presence.

•   Progress in artifi cial intelligence holds the potential to advance robotics signifi cantly but also raises ethical concerns that are essential to address, including the privacy of data used to train robots, data bias that could lead to physical harm by robots, and other safety issues.

•   Achieving the full potential of robots will require a major push from the federal government and the private sector to improve robotics adoption and research across the nation.

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Overview

In general, robots are human-made physical entities with ways of sensing themselves or the world around them and the ability to create physical effects on that world—beyond this statement, there is no consensus on the defining characteristics of a robot. Importantly, robots must integrate many different component technologies to combine perception of their environment with action. These technologies include actuators (e.g., motors, arms, gears), sensors, control systems, materials, power sources, and real-time programming. As a result, it takes a large interdisciplinary effort to move from a working prototype to a mass produced robot in the market. The key engineering challenges in robotics are the design of individual components and the integration of these components to perform tasks.

Robots today are used primarily for tasks that fall within the “Three Ds”: dull, dirty, or dangerous. These tasks include manufacturing lines, warehouse logistics, food production, disaster assistance, military services, security, and transportation. Autonomous robots excel at working in structured environments where conditions are predictable, whereas humans have the advantage in more unpredictable environments.

 

KEY DEVELOPMENTS 

Some of the most important current influences on the robotics fi eld include:

Manufacturing: Robotics can help overcome some shortages in skilled labor in the manufacturing sector through automation and the development and increased deployment of collaborative robots, or cobots, that interact with human workers. New innovations such as robotic graspers that can handle even very fragile goods also make it easier to adapt and reconfigure production lines, reducing vulnerabilities in supply chains.

Instantaneous goods and services delivery: Companies are deploying inventory as close as possible to customers so that goods and services are available very rapidly on demand. Robots are being used in multiple ways here. Drones and multiwheeled vehicles are being tested for conducting last-mile deliveries that get goods to customers, and remote robot-assisted surgery for certain conditions is increasingly available.

Food production: Food production is predicted to increase by 50 percent by 2050, and in addition to boosting output farmers will also need to adapt to increasingly frequent adverse weather effects such as floods and droughts. Currently, robots are mainly deployed to reduce the cost of specific processes such as milking and seeding, but they can also increase agricultural efficiency and productivity by helping farmers collect data about the state of their crops using sensors, computer vision technology, and advanced algorithms.

 

Over the Horizon

Artificial intelligence (AI) is set to play an increasingly important role in robotics by enabling robots to perform more complex tasks and facilitating greater autonomy. This will impact multiple fields such as healthcare and eldercare, where there is a huge dearth of qualified personnel. Assistive and rehabilitative robots are being developed and deployed to support caregivers. These robots can be electronic companions that help people with basic tasks associated with the activities of daily living both inside and outside their homes. They can also take the form of exoskeletons, which are wearable robotic devices that provide support with movement by, for instance, working with calf muscles to give people extra propulsion with each step taken.

The main challenge in healthcare and eldercare is the complexity of the tasks involved. Even a seemingly easy task like feeding a person can be hard for a robot because small movements of the individual can be hard to adjust for. AI and machine learning are being talked about as potential solutions to such issues, but for every new task a robot must learn, an immense amount of training data is required to ensure it will function safely.

As robots’ capabilities advance, they will also play a bigger role in construction— where commercial robots are already capable of bricklaying, house framing, and moving heavy items on construction sites—and in the development and maintenance of sustainable energy infrastructure, where they are being used in tasks such as cleaning solar panels and maintaining wind turbines.

Achieving the full potential of robotics to help drive economic growth will require a major push from the federal government and the private sector to support research into robots and to encourage their use. Robot density in manufacturing in the United States in 2022 was 285 robots per ten thousand employees, ranking the country tenth in the world behind nations such as South Korea, Germany, and China. Advancing the use of robots will need to be balanced with a strategy to manage the transition carefully to avoid significant job displacement.

 

POLICY, LEGAL & REGULATORY ISSUES

These fall into three broad areas: 

  • Privacy and consent: As noted earlier, large amounts of data will be needed to train robots, which will also collect significant volumes of data as they perform tasks. It will be important to think carefully about how to manage training data from a privacy and consent perspective, as well as the data gathered by robots in homes, hospitals, and other places they operate in. 
  • Inclusion and integrity These are crucial issues that concern both robotics and AI. For example, what if a robotic safety system scanning people infers that someone is carrying a gun because of their ethnicity? The consequences could be grave. Promoting norms and standards for robot-training datasets is essential to ensure that the diversity of America’s population is properly reflected in them. 
  • Safety: Setting standards for the safe performance of robotic systems is crucial for ensuring their successful and continued adoption. Cybersecurity standards for robots also need to be on a par with the domains they are used in, including healthcare and national security.

REPORT PREVIEW: Robotics

Faculty Council Advisor

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Allison Okamura
Author
Allison Okamura

Allison Okamura is the Richard M. Weiland Professor of mechanical engineering in the School of Engineering and professor, by courtesy, of computer science at Stanford University. She is a deputy director of the Wu Tsai Neurosciences Institute, affiliated faculty at Stanford Bio-X and Stanford’s Human-Centered AI Institute, and a fellow of the Institute of Electrical and Electronics Engineers. Her research interests include haptics, teleoperation, mixed reality, and medical and soft robotics. She received her PhD in mechanical engineering from Stanford University.

View Bio
allison-okamura_profilephoto.jpg
Allison Okamura

Allison Okamura is the Richard M. Weiland Professor of mechanical engineering in the School of Engineering and professor, by courtesy, of computer science at Stanford University. She is a deputy director of the Wu Tsai Neurosciences Institute, affiliated faculty at Stanford Bio-X and Stanford’s Human-Centered AI Institute, and a fellow of the Institute of Electrical and Electronics Engineers. Her research interests include haptics, teleoperation, mixed reality, and medical and soft robotics. She received her PhD in mechanical engineering from Stanford University.

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