Sometimes a technology is so awe-inspiring that the imagination runs away with it - often far, far away from reality. Robots are like that. A lot of big and ultimately unfulfilled promises were made in robotics early on, based on preliminary successes.

Daniel H. Wilson’s quote, "Sometimes a technology is so awe-inspiring that the imagination runs away with it - often far, far away from reality. Robots are like that. A lot of big and ultimately unfulfilled promises were made in robotics early on, based on preliminary successes," highlights the tendency for exaggerated expectations to emerge when new technologies, like robots, first gain attention. Wilson points out that the awe and excitement generated by groundbreaking technologies can lead people to envision possibilities far beyond their practical capabilities, causing their potential to be inflated in public discourse.

The quote suggests that imagination can sometimes get ahead of reality, especially when a new technology seems to offer transformative solutions. In the case of robotics, early successes or breakthroughs often led to unrealistic promises about what robots could achieve. These overly optimistic projections, however, often fail to align with the more complex and gradual development required to fulfill such promises.

Wilson specifically references the history of robotics, where initial advancements led to grand ideas about the potential of robots in various fields. However, these expectations often resulted in disappointment when the technology could not meet the lofty goals set for it. The "big and ultimately unfulfilled promises" he mentions refer to these unmet expectations, where the early successes of robots were not enough to carry through on the more ambitious goals.

Ultimately, Wilson’s quote serves as a cautionary reminder about the gap between vision and practicality in the development of new technologies. While it's easy to get caught up in the potential of something as revolutionary as robots, true innovation requires time, refinement, and a grounded understanding of what is actually feasible.