Robots were initially employed to carry out tasks that were rule-based and repetitive. Today, robotics and artificial intelligence have changed that paradigm. AI-enabled robots are capable of perceiving, reasoning, learning, and adapting to dynamic environments because they are trained on high-quality datasets. These include sensor fusion datasets (combining camera, LiDAR, and radar data), action or behavior annotations, video, and image training data, which are crucial for robotics AI.
The use of AI, reinforcement learning, and computer vision is enabling robots to evolve into intelligent machines. This is evident in their ability to identify pedestrians on a busy street, recognize objects on a factory floor, or navigate warehouse aisles.