As part of the on-going rise of
consumer-level robotics, recent research in artificial intelligence and
bio-inspired devices has reached a new plateau of possibilities. Modern robots
are now able to fill an increasingly broad scope of roles in both home and work
environments. Easily one of the most important (and difficult) abilities for
such machines is being able to recognize and interact with various physical
objects.
As has often been the case,
engineers turned to the human body itself to model both the form and function
of new robot apparatuses. Since almost all robots must interact with and handle
physical objects in some way, among the most commonly emulated body parts is
the hand. Along with their associated computer programs and visual recognition
software, robotic hands in the 2000s and 2010s had already boasted some
impressive abilities. By the second half of the 2020s, however, the techniques
involved have become sufficiently advanced to overcome most of the obstacles
faced in previous decades.
Around this time, some of the first robot
hands equalling the capabilities of human hands are appearing in the
laboratory. AI programs, using precise visual perception software, are able to
recognise countless physical objects and intelligently plan for how they can be
manipulated. The robotic hand is therefore able to function autonomously and
self-adjust to different objects based on texture, weight and shape. All of
this can be accomplished in fluid, natural movements that are largely
indistinguishable from those of a real hand.
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