AI Caregiving Companion Robot
Budget: $250 – $750 USD
I’m building a life-sized, realistic robot that can live in the home as a companion and caregiver. Its core purpose is to keep an eye on a user’s wellbeing, offer real-time social engagement, and lend a physical hand with light daily tasks.
Here’s what the system must manage from day one:
• Continuous monitoring of vital signs with FDA-grade accuracy, streamed to a mobile dashboard for the user or a remote clinician.
• Spoken and visual reminders for every scheduled medication dose, with compliance logging.
• Gentle mobility assistance—steadying an arm as the user stands, guiding a walker, or fetching small objects—coordinated through safe-torque robotic limbs.
• Advanced social interaction: natural, back-and-forth conversation that adapts to mood, remembers preferences, and employs emotion recognition through facial cues and voice tone.
I’m looking for an end-to-end technical blueprint and an interactive proof-of-concept:
1. Architecture document covering mechanical design, sensor suite, AI stack (LLM or RAG, dialogue manager, emotion analysis, SLAM, low-level motor control), and safety redundancies.
2. Component list with sourcing links and estimated costs.
3. Simulated environment demo (ROS, Gazebo, Webots, or similar) that shows the robot reading vitals, generating a medication reminder, and responding empathetically to a user’s anxious tone.
4. Acceptance script and test results proving latency, recognition accuracy, and fall-prevention force limits meet the guidelines we define together.
If you have hands-on experience combining conversational AI, computer vision, and compliant robotics, let’s talk about timelines and which modules you’d like to own versus consult on.
Here’s what the system must manage from day one:
• Continuous monitoring of vital signs with FDA-grade accuracy, streamed to a mobile dashboard for the user or a remote clinician.
• Spoken and visual reminders for every scheduled medication dose, with compliance logging.
• Gentle mobility assistance—steadying an arm as the user stands, guiding a walker, or fetching small objects—coordinated through safe-torque robotic limbs.
• Advanced social interaction: natural, back-and-forth conversation that adapts to mood, remembers preferences, and employs emotion recognition through facial cues and voice tone.
I’m looking for an end-to-end technical blueprint and an interactive proof-of-concept:
1. Architecture document covering mechanical design, sensor suite, AI stack (LLM or RAG, dialogue manager, emotion analysis, SLAM, low-level motor control), and safety redundancies.
2. Component list with sourcing links and estimated costs.
3. Simulated environment demo (ROS, Gazebo, Webots, or similar) that shows the robot reading vitals, generating a medication reminder, and responding empathetically to a user’s anxious tone.
4. Acceptance script and test results proving latency, recognition accuracy, and fall-prevention force limits meet the guidelines we define together.
If you have hands-on experience combining conversational AI, computer vision, and compliant robotics, let’s talk about timelines and which modules you’d like to own versus consult on.