Featured Projects
Cutting-edge robotics and AI projects showcasing advanced manipulation, navigation, reinforcement learning, and autonomous systems capabilities
🦾 UR3 Pick-and-Place Robot
Advanced robotic manipulation system using UR3 robotic arm with Robotiq gripper, integrated with ROS 2, MoveIt 2, and Gazebo simulation. Features computer vision-based object detection, inverse kinematics, collision-aware motion planning, and precise manipulation capabilities for industrial automation applications.
🚶 RL Bipedal Walking Robot
A comprehensive reinforcement learning framework for training a bipedal humanoid robot to walk using cutting-edge AI techniques. This project represents the intersection of robotics, machine learning, and simulation technology, featuring a custom 6-DOF bipedal robot trained using PyTorch PPO (Proximal Policy Optimization) algorithm. The system includes advanced reward engineering for stability and natural locomotion, real-time training visualization with TensorBoard integration.
🤖 HandBot ROS2 Ecosystem
A comprehensive ROS2-based manipulation framework featuring advanced gripper control, perception pipeline integration, and task orchestration capabilities. The system is designed for complex multi-step robotics operations with a modular architecture that ensures easy extensibility and scalability for various robotic applications.
🧭 Intelligent Navigation System
Complete autonomous navigation pipeline featuring SLAM mapping, dynamic obstacle avoidance, and path planning. Built with Nav2 stack, SLAM Toolbox, and advanced algorithms for real-time LiDAR processing and localization in complex environments. Demonstrates robust navigation capabilities in dynamic scenarios.
🤖 RL Mobile Pick-and-Place System
Autonomous mobile manipulator combining differential drive base with 4-6 DOF robotic arm, trained using reinforcement learning for pick-and-place operations. Integrates RGB-D perception, AprilTag localization, and continuous action space control with ROS 2 Jazzy architecture for advanced mobile manipulation tasks.
Project in Development
🔍 Advanced Vision System
Cutting-edge computer vision system for robotic perception and object recognition. This project focuses on developing robust visual processing capabilities for autonomous robots, including real-time object detection, tracking, and scene understanding using deep learning techniques.
Project in Development
🧠 Multi-Agent RL System
Advanced multi-agent reinforcement learning framework for collaborative robotics tasks. This project explores how multiple robotic agents can learn to cooperate and coordinate their actions to achieve complex shared objectives in dynamic environments.