A comparison between MoCo and MAE embeddings generate from CIFAR10 dataset.
Developed an end-to-end docking location detection network based on synergy of deep point set networks and Hough voting.
Developed a real-time computer vision pipeline to find potential docking locations indoor environments for wheelchairs using point cloud data.
Real-time wheelchair navigation with shared control using model predictive path integral (MPPI) controller.
Indoor object detection using Votenet for pointclouds captured from RGB-D cameras in ROS simulation.
Image-based visual servoing in eye-in-hand configuration for Universal Robot 5 using Microsoft Kinect V2 camera.
Developed a CNN capable of obtaining a temporally consistent, full 3D skeletal human pose from a single RGB camera.