A growing trend is focusing worldwide on the development of intelligent humanoïd personal robot altogether power-efficient and cost effective. Additionnely, heterogeneous high performance edge computing is combined with robust cellular connectivity on platforms that support multi agentic ia orchestration generating in real time actionable massive data, thereby optimizing efficiencies as well as fostering innovation.

Leveraging on humanoid robots with cutting-edge technology that are emerging on a large number of advanced platforms, I submit here a personal design of a personal robot dedicated to the relationship with the human beings occupying the house where it develops its mission with them.

An autonomous humanoid personal robot, Coachy ensures the physical, mental, and moral well-being of people living in the home in which it performs its duties without being connected in any way to the cloud. Coachy's mission is to maintain optimal individual health by ensuring a prolonged lifespan.

While Coachy can take on the full range of forms and functions of existing humanoid personal robots, its architecture is based on the principle of distributed local intelligence, without dependence on remote servers, similar in this to Gemini Robotics On-Device presented by Google DeepMind.

Ideally, Coachy interacts locally with a suite of agentic AIs, such as smart beds and toilets, as well as thin-film graphene-based skin sensors worn by humans.

These thin-film sensors emit physiological signals, such as blood pressure, heart rate, muscle tension, respiratory rate, etc., providing continuous information during transactional exchanges between Coachy and humans (see Graphene-Based Sensors for Human-Computer Interaction).

A Central Home Management Hub is co-acting in continuous consultation with Coachy to locally manage the regulatory functions of the home infrastructure.

The Management Center centralizes the data generated by the swarm of AI agents, which inform it in real time of the vital parameters evolution for each human being living in the house and informs Coachy as soon as a critical threshold is crossed. Coachy communicates through performative dialogues with each and every member of the family.

Coachy achieves its supportive companionship in fact-check mode. Paying attention to the various blood pressure, heart rate, physiognomy, postural and gestural expression variations, Coachy integrates its assessment thereof into the active semantic lake composed of 5 tokens as psychophysiological hyperparameters interrelated to identified source tokens. It will additionnally integrate its own assessment of the particular relational session. A smart built-in streaming pipeline will deliver this data package to a convolutional neural network located lakehouse. There, the hyperparameters will be tuned to the neural network layers by a machine learning process. Coachy will be later presented the 5-token semantic lake through a retrieval augmented generation (RAG) implementation.

The Central Hub Coachy team will thus act in complete safety to fulfill its missions of support and monitoring the maintenance of good physical, mental and moral health for a prolonged life.