In designing and developing autonomous service robots, lessons from human skill development and training can be crucial. Just as humans acquire skills through a progression of experiences and practice, autonomous robots can benefit from a developmental approach. By incorporating stages of learning and skill acquisition, robots can gradually build up their capabilities in a structured manner. This approach involves starting with foundational skills and gradually advancing to more complex tasks, mirroring the way humans learn and develop expertise over time.
One key aspect is the integration of multimodal sensing and motor control technology from robotics with deep learning techniques adapted for embodied systems. This combination allows robots to perceive their environment, manipulate objects, and interact with humans in a more human-like manner. By creating experiential foundation classes, similar to how humans learn basic skills before moving on to more advanced tasks, robots can develop a strong base of capabilities that can be expanded upon as they encounter new challenges.