Humanoid robots: Crossing the chasm from concept to commercial reality
Humanoid robots—machines that resemble people in size and shape—have long captured imaginations, offering visions of a future in which they seamlessly integrate into environments designed for humans.
Humanoid robots—machines that resemble people in size and shape—have long captured imaginations, offering visions of a future in which they seamlessly integrate into environments designed for humans. Humanoid robots—machines that resemble people in size and shape—have long captured imaginations, offering visions of a future in which they seamlessly integrate into environments designed for humans. Unlike traditional robots optimized for single tasks, humanoids hold the promise of broad adaptability across a wide range of functions. Further scaling of robotics depends on additional work on safety, particularly when AI models are deployed to control robots. Areas for improvement include collision avoidance, malfunction prevention, cybersecurity, and AI decision-making transparency. Regulatory gaps must also be addressed. Each bridge marks a decisive threshold across the chasm. Humanoids cannot move from concept to coworker until all four are built. Although full-scale humanoid deployment is years away, executives at companies that are end users of robotic technology must monitor progress on these fronts and start preparing their organizations now, or risk lagging behind competitors when robots become an essential part of the workplace. The true promise of humanoids lies in coexisting freely alongside humans in workplaces and public spaces, rather than working behind barriers. That aspiration sets a higher bar for safety, and reaching it will require both regulatory and technological bridges to be built. The International Organization for Standardization (ISO) has issued safety guidelines for robotics—ISO 10218 and ISO/TS 15066—but these focus on robot arms and collaborative robots, not autonomous humanoids that move and interact in unstructured settings.
Mentioned in this article