Imagine a robot that can seamlessly switch between making you a coffee, arranging the living room, and building a tower with blocks, all while remembering your preferences and the current state of each task. That future may be closer than you think, thanks to new research that makes robots much better at multitasking. Traditionally, robots excel at performing single, pre-programmed tasks. Multitasking has been a major hurdle, as robots struggle to retain information and adapt to changing contexts. The key innovation in the paper is the integration of LLMs and memory architectures. The researchers introduce a two-layered system where one LLM acts as a "coordinator" and the other as a "worker." The coordinator makes high-level decisions, triggering relevant actions for the worker bot to execute. This worker then updates and maintains a memory model of the robot's experiences and current environment. This dual-layered approach allows the robot to perform multiple tasks without losing track of what it's doing. This advancement is important because it mirrors how humans use both short-term memory for ongoing actions and long-term memory for recalling learned knowledge. This architecture allows robots to understand tasks within larger contexts, making their behavior more adaptable and less rigid. In essence, this two-tiered LLM system equips robots with a cognitive framework to manage multiple tasks while staying attuned to the environment. This research was tested on a semi-humanoid robot named NICOL. The results were impressive. In multi-task scenarios, the robot successfully sorted items, built a tower, and arranged objects in a bowl, all while remembering previous actions and environment states. It's like giving a robot the ability to juggle multiple mental balls without dropping them. While this research is still in its early stages, it has far-reaching implications. Imagine robots that can assist with complex tasks in homes, hospitals, or even space exploration missions. Multitasking robots could become truly collaborative partners, adapting and learning alongside humans. The research marks a significant step towards more versatile and intelligent robots that may one day be an integral part of our lives. Though challenges remain, this advancement paves the way for robots to seamlessly integrate into our human world.