DEEPAK.OS :: INTERACTIVE SIMULATION LABS

ROBOTICS & AI SANDBOX

Test real-time autonomous navigation, neural computer vision perception, and closed-loop feedback control systems in an interactive browser sandbox.

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SIMULATION VS. HARDWARE IMPLEMENTATION:These interactive modules are educational browser sandboxes modeling kinematic solvers, A* costmaps, and PID transfer functions. For production ROS 2 Jazzy architectures, Autodesk Fusion CAD assemblies, and STM32 firmware, explore the Hardware Projects Archive ↗.

LiDAR SLAM & A* Navigation

NAV2 STACK

360° laser sweep with A* global path planning and obstacle clearance. Click to set new waypoints or drop custom obstacle crates.

NAV2 / SLAM:NAVIGATING
🎯 TAP TO SET WAYPOINT
GROUND TRUTH POSE:[70, 70] @ 0°
ESTIMATED ODOMETRY:[70, 70] (Δ 0px)
SAFETY CLEARANCE:40px (PROTECTED)
DISTANCE TO GOAL:0 wps left
3x

YOLOv8 Multi-Modal Perception

EDGE AI

Object detection across RGB, Depth, and Thermal modalities. Hover or click vehicles and pedestrians to inspect neural activations and tracking IDs.

YOLOv8:SEARCHING
💡 TAP TO LOCK TRACKING TARGET
CLASSIFIED TARGET:NO TARGET LOCKED
YOLO CONFIDENCE:---
STEREO DEPTH:---
SPATIAL VELOCITY:---
60%

PID Feedback Control Loop

CONTROL SYSTEMS

Tune Proportional (Kp), Integral (Ki), and Derivative (Kd) gains on a Mass-Spring-Damper system. Trigger step disturbances to observe damping stability.

CURRENT POS:0px
TRACKING ERROR:0px
CONTROL EFFORT:0N
PROPORTIONAL (Kp):1.80
INTEGRAL (Ki):0.20
DERIVATIVE (Kd):0.65

2-DOF Inverse Kinematics (IK)

ROBOTICS KINEMATICS

Move your cursor inside the workspace to calculate real-time joint angles (θ1, θ2). Trigger impulse testing to verify physical mass rigidity and damping.

💡 DRAG FINGER TO MOVE ROBOTIC ARM
END EFFECTOR X:0.0px
END EFFECTOR Y:0.0px
JOINT θ1:0.0°
JOINT θ2:0.0°