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
Comprehensive reinforcement learning framework for training a bipedal humanoid robot to walk using PyTorch PPO. Features custom 6-DOF robot, advanced reward engineering for stability, and real-time training visualization with TensorBoard integration.
HandBot ROS2 Ecosystem
Comprehensive ROS2-based manipulation framework featuring advanced gripper control, perception pipeline integration, and task orchestration. Designed for complex multi-step robotics operations with modular architecture.
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.
RL Mobile Pick-and-Place System
Autonomous mobile manipulator combining differential drive base with 4-6 DOF robotic arm, trained using reinforcement learning. Integrates RGB-D perception, AprilTag localization, and continuous action space control.