"Robotics Software Engineer with Mechanical Engineering background"

Developing autonomous mobile robots with ROS2, focusing on localization, path planning, and sensor integration. Building production-ready robotic systems that navigate, perceive, and interact with real-world environments.

Focus Areas: Autonomous Mobile Robots • SLAM & Self-Localization • ROS2 Navigation Stack • Sensor Fusion (LiDAR, IMU, Camera) • Industrial CPS Integration • Machine Learning for Robotics • Computer Vision & Deep Learning

Patrol Navigation Controller (C++ with ROS2 Nav2)

• Waypoint patrol with cyclical behavior
• Pose orientation handling with quaternions
• AMCL localization integration
• Callback-based asynchronous goal management

Random Explorer Bot (C++ with ROS2 Nav2)

• Autonomous exploration implementation
• Dynamic path planning
• SLAM-based environment mapping

Waypoint Navigation (Python with ROS2 Nav2)

• Waypoint management system
• Real-time navigation feedback
• Nav2 action server integration

Autonomous Navigation with Obstacle Avoidance (Python)

• Custom navigation without Nav2
• Real-time obstacle detection and response
• Path replanning algorithms

Wall Following Controller (Python with PID Control)

• LiDAR scan data processing and filtering
• PID control implementation
• Multi-zone collision detection
• State machine logic: search → find wall → follow → escape
• Adaptive speed based on obstacles

Wall Following Controller (C++ implementation)

• High-performance variant with optimized sensor processing
• Real-time control loop for industrial applications

MoveIt Pick & Place Demo (Python)

• Pick-and-place operations with MoveIt
• Computer vision for object detection
• Arm trajectory planning and execution
• Coordinated motion control

Colored Object Picker (Python with OpenCV)

• Real-time object detection and tracking
• Vision-based positioning and manipulation
• HSV color space filtering

Automatic Water Pumping System (MATLAB + Arduino)

• Sensor integration fundamentals
• Arduino hardware control
• Real-time monitoring system

ROS2 Development → Production-ready autonomous robot systems

SLAM & Localization → Self-position estimation and environment mapping (GMapping, Cartographer)

Navigation Stack → ROS2 Nav2 path planning and obstacle avoidance

Sensor Fusion → LiDAR, IMU, GPS, Camera integration and data processing

Control Systems → PID controllers and motion planning algorithms

Robotic Manipulation → Motion planning with MoveIt and trajectory control

Computer Vision & Deep Learning → Object detection, tracking, and semantic segmentation with OpenCV, PyTorch, TensorFlow

Machine Learning for Robotics → Supervised learning, reinforcement learning, and neural networks for robot perception and control

System Integration → API design, communication protocols (MQTT, WebSocket)

DevOps → Docker containerization and deployment workflows

• Industrial Robot Development → Building autonomous mobile robots for industrial CPS (Cyber-Physical Systems)
• ROS2 Navigation → Advanced path planning and localization techniques
• Sensor Integration → Multi-sensor fusion for robust perception
• Machine Learning Integration → Applying deep learning models (CNN, YOLO, SegNet) for object detection and scene understanding
• System Architecture → Designing scalable and maintainable robot software
• Hardware Interfaces → Working with embedded platforms (NVIDIA Jetson)