GARR Foundation — Dr. APJ Abdul Kalam ZERO RESEARCH FUNDING Lab

PHYSICAL HARDWARE EQUIVALENT

LiDAR TurtleBot / ROS Hardware

Interactive $A^*$ & $D^*$ maze navigation simulator with dynamic obstacle sensing.

IIT / IISc PHYSICAL SETUP COST

₹1,500,000 to ₹4,000,000
(₹15L - ₹40L)

Requires high-end Mobile Robots, LiDAR units, motion capture systems, and ROS server workstations.

INDIAN INSTITUTES PHYSICAL DEPLOYMENT

IIT Madras, IISc Bengaluru, IIT Kharagpur, NIT Surathkal

Advanced Autonomous Systems & Mobile Robotics Laboratories.

KALAM LAB ONLINE REPLACEMENT COST
₹0 (100% Free Open-Source)
Runs directly in browser on any smartphone, tablet, or budget PC. Implemented in JS (p5.js grid simulation engine).

Lab Modules & Experiments

Select a path planning algorithm or navigation test scenario below to load grid parameters into the virtual workbench:

Experiment 1: $A^*$ Shortest Path Heuristic — Optimal static maze solving with Euclidean and Manhattan distance functions ($f(n) = g(n) + h(n)$).
Experiment 2: Dynamic Obstacle Avoidance ($D^*$) — Real-time path replanning upon detecting mid-course grid updates.
Experiment 3: Simulated LiDAR Grid Mapping — Ray-casting rangefinder array for local environmental boundary construction.

Interactive Workbench — Experiment 1: A* Shortest Path Navigation ● Simulation Ready

Algorithm Mode

Heuristic Function

Obstacle Density: 30%

Path Length / Cost

0.00 steps

Nodes Evaluated

Computation Status

Idle