Robotics is transforming diverse sectors including manufacturing, healthcare, and agriculture by introducing significant efficiencies and capabilities, enabling industries to innovate rapidly.
Training robots presents a significant challenge due to the high costs and lengthy processes involved; inflexibility in adapting to system changes requires retraining with every minor tweak.
Imitation learning plays a crucial role in robot training, where a human teleoperates a robot, generating the necessary data for the machine to learn movements effectively.
While robots offer considerable potential in various industries, their training process is cumbersome, highlighting the need for improved flexibility and adaptability in robotic systems.
Collection
[
|
...
]