Robots observe humans, learn to move arms, set and clear table autonomously

Researchers at Universidad Carlos III de Madrid (UC3M) have developed a new methodology enabling robots to autonomously move their arms by combining observational learning with intercommunication between limbs. This advancement enhances robot flexibility and coordination, particularly in managing two arms simultaneously—a complex challenge in robotics. The team demonstrated this approach using the Autonomous Domestic Ambidextrous Manipulator (ADAM) robot, capable of assistive domestic tasks such as setting and clearing tables, tidying kitchens, ironing, and delivering items like water or medication to users. ADAM is designed primarily to assist elderly individuals in homes or care facilities, addressing the increasing societal challenge of population aging and the shortage of caregivers. Although currently an experimental platform costing between 80,000 and 100,000 euros, researchers believe that within 10 to 15 years, similar robots could be affordable and integrated into everyday home environments. The project emphasizes the importance of teaching robots through imitation learning—where robots observe and replicate human actions—rather than traditional programming,