adaptable

Adaptable Robotics refers to a field of robotics with a focus on creating robotic systems capable of adjusting their hardware and software components to perform a wide range of tasks while adapting to varying environments. The 1960s introduced robotics into the industrial field. Since then, the need to make robots with new forms of actuation, adaptability, sensing and perception, and even the ability to learn stemmed the field of adaptable robotics. Significant developments such as the PUMA robot, manipulation research, soft robotics, swarm robotics, AI, cobots, bio-inspired approaches, and more ongoing research have advanced the adaptable robotics field tremendously. Adaptable robots are usually associated with their development kit, typically used to create autonomous mobile robots. In some cases, an adaptable kit will still be functional even when certain components break.
Adaptable robotics systems successfully adapt to their environment using techniques such as modular design, machine learning, and sensor feedback. Using this, they have revolutionized various industries and can address many real-world challenges in the medical, industrial, extraterrestrial, and experimental fields. There are still many challenges to overcome in adaptable robotics, which presents opportunities for growth in the field.

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