Garrf-Khaana Boy: Hyderabad Autonomous Food Delivery

Delivery Dispatcher

NavGraph Active

Pickup Stall (Point A)

Delivery Drop (Point B)

Order Cargo Item

Speed / Observation Pace: 1x (Slow Walking Pace - 4.5 km/h)

0.25x (Super Slow) 1x (Real Walk) 3x (Fast Forward)

Garrf-Khaana Boy Vitals

ID: HYD-ROBO-07

Battery (LiFePO4) 96%

Cargo Pod Temp 68°C

Insulated Heating Active

Speed (Speed Governor) 0.0 km/h Cap: 12 km/h (GHMC Limit)

LiDAR / Depth Sensors Clear (360°) ETA: Waiting Order

ROS 2 Event Logs

[0.00] System initialized. RTK-GPS locked (Hyderabad Zone).

[0.12] Motor controllers check: OK. Payload weight sensor calibrated.

Cyberabad High-Precision Map Grid (HITEC City - Madhapur - DLF Loop)

Food Stalls / Hubs

Tech Campuses

Pedestrian / Obstacle

Garrf-Khaana Boy

Route calculated!

Curriculum & Deployment Blueprint: Hyderabad Context

Unlike suburban roads in the US, Hyderabad environments (such as Madhapur's DLF street or Cyber Towers pedestrian walkways) present unpredictable challenges: street vendors, parked 2-wheelers, uneven curb stones, and roaming cattle.

Dual 16-Beam LiDAR Scans 360° at 15Hz to map curb boundaries and pothole depths up to 30 meters.

Stereo RGB-D Cameras AI computer vision model identifies Hyderabad auto-rickshaws, pedestrians, and street dogs.

Delivery Dispatcher

Garrf-Khaana Boy Vitals

Curriculum & Deployment Blueprint: Hyderabad Context

1. Sensor Fusion: Navigating Irregular Hyderabad Footpaths & Streets

Garrf-Khaana Boy: Crystal Clear 3D Inspector Nizami Orange

Student Handbook: Hyderabad Autonomous Robotics

Step 1: High-Definition (HD) Vector Mapping

Step 2: Dynamic Obstacle Costmaps (A* & Dijkstra Algorithm)

Step 3: Multi-Stop Travelling Salesperson Heuristic

Step 4: Real-World Testing Sandbox in Telangana