Robotics & Control
- Forward and inverse kinematics
- Task-space control and operational-space formulation
- Mobile robot navigation and motion planning
- Manipulation pipelines (MoveIt 2)
- PID / PI / PD control (tuning, stability intuition)
- Model Predictive Control (MPC)
- Trajectory generation and control tuning
Learning-Based Methods
- Reinforcement Learning (policy learning, reward design)
- Socially-aware and interaction-aware navigation
- Neural networks and deep learning for robotics
- Convolutional Neural Networks (CNNs)
- Graph Neural Networks (GNNs)
- Attention-based models for perception and decision-making
Computer Vision & Perception
- RGBD-based geometric computer vision
- Vision-based state estimation
- 3D perception for robotics
- Camera calibration and marker-based vision (ArUco)
- Sensor fusion for robotic systems
- ROS (Noetic)
- ROS 2 (Foxy, Humble)
- Gazebo
- Webots
- Isaac Gym and Issac Lab
- Panda-Gym
- Unity3D (simulation and synthetic data generation)
Programming & Machine Learning Frameworks
- Python
- C++
- MATLAB
- PyTorch
- TensorFlow
- Keras
- CUDA (basic)
Embedded Systems & Hardware
- ESP32-based systems
- Sensor integration (proximity, RFID, health sensors)
- Low-cost industrial IoT solutions
- Embedded data acquisition for real-time monitoring
- SolidWorks (mechanical design)
- Git & GitHub
- Docker
- Linux-based development environments
Languages
- Bengali — Native
- English — Fluent (IELTS Overall: 7.0)