ese650

SLAM with occupancy grid and particle filter, using lidar, joints, IMU and odometry data from THOR humanoid robot

6D Object Pose Estimation using RGBD Data and Fast-ICP

a quaternion-based Unscented Kalman Filter on IMU to estimate quadrotor orientation. With estimates and camera data, a sphere panorama is generated by image stitching

Simultaneous Localization and Mapping using particle filters

Path planning in aerial images using imitation learning

Gesture recognition using Hidden Markov Models

ESE 650: Learning in Robotics, Project 2, Panorama Stitching using Orientation tracking based on Unscented Kalman Filter

ESE 650: Learning in Robotics Project 1, Color Segmentation using Gaussian Mixture Models

a left-to-right Hidden Markov Model for cellphone gesture recognition, using IMU data

a hybrid Gaussian Mixture Model for color segmentation, and connected component analysis for object detection

ESE 650: Learning in Robotics, Project 3, Gesture Recognition using Hidden Markov Models and IMU Data

Object detection of red barrels using Gaussian Mixture Models