A team of researchers has wired a large language model into a small humanoid robot's conversation loop, replacing its old script-following brain.
The robot is MyBuddy, a 13-axis humanoid running on a Raspberry Pi. The new system, described in a preprint on arXiv, pairs an LLM with real-time speech recognition and speech synthesis, letting the robot understand spoken questions and answer in kind. It also gives MyBuddy the ability to look things up: the assistant can pull knowledge from sources like Wikipedia and arXiv itself to answer questions its base model does not know. The researchers say the setup supports multi-turn conversations and is meant to offer a degree of emotional-support interaction.
Most consumer and research robots still lean on canned dialogue trees, which fall apart the moment someone asks something the designers did not anticipate. Bolting an LLM onto a low-cost, Raspberry-Pi-powered robot suggests conversational depth is becoming less about the hardware and more about which model you plug in.
It is a research prototype, not a product, so do not expect MyBuddy's chatty new personality to show up in stores anytime soon, and its live knowledge lookups are only as reliable as the sources they query.