Imagine walking into your kitchen and telling your robot, "Grab the spinach from the fridge and hand it to me." Sounds like science fiction, right? Researchers at Inria are making this a reality, bridging the gap between human language and robotic action in a new way. Their modified Tiago++ robot, a star player in the euROBIN Service Robots Coopetition, tackles the complex challenge of understanding vocal instructions and translating them into real-world kitchen tasks. This isn't just about simple commands. The team has developed a system that uses large language models (LLMs), similar to the technology behind ChatGPT, to interpret nuanced instructions, even if they're a bit ambiguous. The robot uses a combination of clever engineering and cutting-edge AI. AprilTags help the robot locate objects and people, while a whole-body control system ensures smooth and coordinated movements. If the robot gets stuck, a teleoperation system allows a human to take control and guide it. The LLM doesn't just blindly follow instructions; it thinks through the steps, explaining its reasoning aloud, which adds a layer of transparency and helps build trust. This research isn't just about building a better kitchen helper. It's a big step towards more intuitive and helpful robots that can understand us, explain their actions, and seamlessly integrate into our daily lives. While there are challenges ahead, like improving object recognition and making the robot adaptable to different environments, this work provides a fascinating glimpse into a future where robots truly understand what we mean, not just what we say.