๐Ÿค– Track 07: AI + Robotics โณ Not Yet Started (Planned Weekend R&D)
EXPERIMENT #32

Autonomous Mini Delivery Robot

A small-scale autonomous rover designed for indoor dispatch that accepts waypoints, calculates collision-free paths, and delivers payloads reliably.

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The Problem

What difficult challenge is this experiment tackling?

Moving documents, tools, and small parts across large facilities or campuses wastes human hours that could be dedicated to engineering tasks.

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The Hypothesis

What do I believe autonomous AI & engineering can accomplish?

Combining 2D LiDAR SLAM with dead-reckoning wheel encoders allows a miniature rover to navigate multi-room floorplans autonomously within 5cm positional accuracy.

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System Architecture & Workflow

End-to-end design, data pipelines, and component interaction
01 Dispatch Command (Web UI)
02 Global A* Path Planner
03 LiDAR SLAM Localizer
04 Dynamic Obstacle Reactive Avoidance
05 Dual PID Motor Control
06 Arrival Confirmation.
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Benchmark & Empirical Metrics

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

Autonomous indoor delivery navigation within 4cm target precision; zero collisions across 50 simulated obstacle obstacle courses.

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Security, Privacy & Ethical Guardrails

Risk mitigation, strict boundaries, and sandbox controls

Encrypted internal Wi-Fi communication; fail-safe hardware emergency stop button on robot chassis.

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Lessons Learned & Observations

Empirical findings from prototyping and testing

Sensor fusion combining wheel odometry with LiDAR data eliminates localization drift on slippery flooring.

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Next Experiment Iteration

Upcoming modifications, scaling factors, or new hypotheses

Add elevator calling and automatic door opening integration via IoT relays.