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nuerrr/robot-sensor-telemetry

Robot Sensor Telemetry Dataset Description This dataset contains real-time sensor telemetry collected from an autonomous robot built for CIE-349/408 Embedded Systems at Zewail City University of Science and Technology (Spring 2026). The robot uses a PIC16F877A microcontroller reading 4x HC-SR04 ultrasonic sensors at 250ms intervals. Telemetry is streamed over UART to an ESP32 NodeMCU, forwarded via UDP to a Raspberry Pi 3B, and served to a Flutter mobile app over… See the full description on the dataset page: https://huggingface.co/datasets/nuerrr/robot-sensor-telemetry.

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Dataset Card

Robot Sensor Telemetry Dataset

Description

This dataset contains real-time sensor telemetry collected from an autonomous robot built for CIE-349/408 Embedded Systems at Zewail City University of Science and Technology (Spring 2026).

The robot uses a PIC16F877A microcontroller reading 4x HC-SR04 ultrasonic sensors at 250ms intervals. Telemetry is streamed over UART to an ESP32 NodeMCU, forwarded via UDP to a Raspberry Pi 3B, and served to a Flutter mobile app over HTTP.

Dataset Structure

ColumnTypeDescription
timestamp_msintMilliseconds since robot boot
front_cmintFront ultrasonic sensor distance (cm)
rear_cmintRear ultrasonic sensor distance (cm)
left_cmintLeft ultrasonic sensor distance (cm)
right_cmintRight ultrasonic sensor distance (cm)
motor_statestringCurrent motor command: FORWARD/BACKWARD/TURNLEFT/TURNRIGHT/STOP/IDLE
face_verifiedboolWhether biometric face recognition lock is verified
tilt_warningboolMPU6050 tilt > 30 degrees detected
fall_detectedboolMPU6050 tilt > 60 degrees detected

System Architecture

The robot operates as a 4-tier distributed pipeline:

  1. 1.PIC16F877A — Hard real-time controller, reads sensors via Timer1, drives motors via PWM
  2. 2.ESP32 NodeMCU — WiFi bridge, forwards UART telemetry to Raspberry Pi over UDP
  3. 3.Raspberry Pi 3B — Flask server, face recognition security gate, UDP auto-discovery
  4. 4.Flutter Android App — Mobile dashboard with D-pad control and radar display

Face Recognition Security

Motor commands are blocked unless a verified face is detected by the face_recognition library (dlib-based deep learning model) running on the Raspberry Pi. Face encodings are stored persistently in a .pkl file (biometric database).

Safety Features

  • —Software obstacle cutoff: front sensor < 10cm → force STOP
  • —Tilt/fall detection via MPU6050 accelerometer
  • —Biometric lock: commands blocked until face verified

Team

  • —Nouran Essam (202300627)
  • —Menna Khaled (202301665)
  • —Shrooq Amin (202300112)

Zewail City University of Science and Technology — CIE-349/408 Spring 2026