※ Developing an unified 3D navigation framework for agricultural robots with latest software tools available.※ Ongoing research on motion planning for 3D navigation in rough uneven terrains. https://github.com/jediofgever/vox_nav

※ Automated the creation of Artificial datasets(for custom objects) of images and point clouds for CNNs※ 3D Object Detection from single RGB image from custom dataset※ 3D Object Detection from Raw point clouds from custom dataset※ Contributed to open source ROS packages in order to include new models of industrial robots ※ Integrated robot models with Gazebo simulator, for testing and validating software ※ Programming Industrial 6DOF Robots based on ROS/ROS-Industrial, for Production Line,※ Vision-Based Pick and Place, ※ Managed ROS-Industrial based Project to achieve manual and automated control of robotic arm

※ Sensor Fusion applications for Autonomous cars, especially LIDAR and stereo camera point clouds fusion※ LIDAR and Stereo camera calibration※ 3D scene understanding using monocular RGB images※ Convulutional Neural Networks for object classification, mainly focused on urban areas for Autonomous driving※ 2D Mapping of indoor envoirements using Google Cartographer※ Robot Trajectory planing and observing using IMUs with SICK Tim LIDAR

※ Autonomous Vehicle Simulation under different simulators (Gazebo , CARLA)※ Designed a novel , simple and fast CostMap for path planning, obstacle avoidance and other Grid Cell based perception algorithms ※ Worked on Obstacle Detection and Obstacle Localization in unknown enviorments using LIDAR※ Wrote C++ code for LIDAR based Object detection and tracking for Autonomous driving※ Actively used PCL for segmentation, clustering and other manipulations on LIDAR PointClouds※ IMplemented several Gazebo plugins for ROS (Moving Cars Along Predescirbed Path points)