EASE tackles everyday challenges like setting the table, cleaning up, and loading the dishwasher by developing adaptable action plans for robots. These plans work across different robots, environments, and task variations, ensuring reliable performance. Validation in real and virtual labs confirmed their effectiveness. Beyond simple tasks, EASE enables robots to handle complex actions like pouring and cutting, which require real-time adjustments based on material properties and unexpected changes. By integrating advanced perception and reasoning, robots can refine their actions dynamically, improving their ability to perform household tasks with autonomy, reliability, and human-like adaptability.
