๐Ÿค– Track 07: AI + Robotics โณ Not Yet Started (Planned Weekend R&D)
EXPERIMENT #34

AI Home/Office Robot Assistant

Prototype an assistant robot combining spatial computer vision, natural voice conversations, indoor navigation, and environmental monitoring.

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The Problem

What difficult challenge is this experiment tackling?

Smart speakers are deaf and blind static objects that cannot move to a user, inspect physical rooms, or verify if an appliance was left running.

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The Hypothesis

What do I believe autonomous AI & engineering can accomplish?

Combining a mobile robotic base with conversational LLMs and computer vision creates an interactive assistant capable of answering questions and visually inspecting physical spaces.

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System Architecture & Workflow

End-to-end design, data pipelines, and component interaction
01 Voice Input (Microphone Array)
02 Speech-to-Intent (Whisper + LLM)
03 Robot Task Coordinator (Navigate / Inspect / Answer)
04 Computer Vision Camera
05 Speech Synthesizer.
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Benchmark & Empirical Metrics

Accuracy โ€ข Latency โ€ข Cost โ€ข Token Usage โ€ข Human Intervention

Answers conversational questions while moving smoothly without losing audio stream; 1.8s voice response latency.

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Security, Privacy & Ethical Guardrails

Risk mitigation, strict boundaries, and sandbox controls

Physical camera privacy shutter hardware switch; audio recording only activates upon explicit wake-word trigger.

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Lessons Learned & Observations

Empirical findings from prototyping and testing

Motor acoustic noise must be dynamically subtracted from microphone input for reliable speech recognition while moving.

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Next Experiment Iteration

Upcoming modifications, scaling factors, or new hypotheses

Add facial recognition for authorized family/team greeting and personalized notifications.