Sai Mouli Manohar Rao Yeluri

Master Thesis Student @ Universität Siegen

About

My keen interest lies in tackling complex problems and finding best way to simplify them. Worked on projects related to Automation, Machine Dynamics, Simulations, Sensor Fusion, Localization and Mapping. During my Bachelors and Masters I had explored various domains and acquired skills on Python, C++, CAD/CAM, Matlab and ROS. Focused on studying LIDAR, RADAR, IMU and Vision based sensors, experience in working with Deep Learning, ROS, Sensor Fusion and SLAM and highly driven to work on Automation and Mobile Robotics based applications.

Country

Germany

City

Siegen

Industry

Information Technology & Services

Skill

Modeling, Mathematics, English, Analytical Skills, UWB, Global Navigation Satellite System (GNSS), Cameras, State Estimation, Particle Filters, Kalman filtering, Lego Mindstorms, Raspberry Pi, Sensors, Ansys Mechanical, 3D Printing, CNC Manufacturing, Optimization, OpenCV, Computer Vision, Advanced Driver-Assistance Systems (ADAS)

Experience

Master Thesis Student

Universität Siegen

2023-8 - 2024-7 · 1 yr

North Rhine-Westphalia, Germany

Setting up Ubuntu and ROS2 on Nvidia Jetson Nano. Developing a solid understating of SLAM algorithms and analyzing the performance of each algorithm for its benchmark criteria such as data association and loop closure detection. Sensor Fusion of inertial and visual odometry using an appropriate filter such as KF or PF. Implementing the robust and high performance RGB-D SLAM algorithm and establishing ground truth and analyzing the performance of the algorithm using lab setting.

Research Assistant

Universität Siegen

2022-9 - 2023-5 · 9 mos

North Rhine-Westphalia, Germany

Hardware setup, Software Installation and System Configeration of MCC118 Measurement Module and Raspberry-Pi Controller. Programming and deployment of a GUI application to log Real Time voltage data of an MCC-118. Configuring the setup to a PCB 353B15 Accelerometer, testing and visualizing the sensor data output. Validating the results using Function Generator and documentaiton of the system and its operation.

Research Assistant

Universität Siegen

2022-4 - 2022-8 · 5 mos

North Rhine-Westphalia, Germany

Developed an Automated Experimental setup using Thor-Labs Microscope & DSLR Camera Automation of Image capture system and Position Control of platform using Lego Mindstorm Ev3 & MATLAB. Automation of Data Acquisition and Segmentation Process. Deep Learning Training CARE 2D , a CNN architecture with a data set of noisy images. Applying the trained CARE 2D model to noisy microscopic images. Evaluation and Refinement of denoised images and assess the noise reduction effectiveness.

Engineering Trainee

FOURTH DIMENSION ELECTRONICS SYSTEMS LIMITED

2018-4 - 2019-6 · 1 yr 3 mos

India

Performance study of HikVision home securty camera system , Study of Contact and Optical Sensors applied on Turnstile gates. Sensor data analysis of Full Height and Half Height Turnstile gates. Machine vision and face recognition technologies. • Developed pipelines in python (Open CV) • Calibration and testing • Video processing and defect analysis in MATLAB and C++ • Technical support to clients for products and services,

Education

Universität Siegen

Mechatronics, Robotics, and Automation Engineering

2019-10 - 2024-4 · 4 yrs 7 mos

Indian Institute of Information Technology Design & Manufacturing Kancheepuram

Mechanical Engineering

2012-10 - 2016-5 · 3 yrs 8 mos

University of Bremen

Aerospace, Aeronautical and Astronautical/Space Engineering

2025-10 - 2027-9 · 2 yrs

Space Electronics, Computational Methods, ML for autonomous robots, Advanced Machine Learning, Integrated Intelligence Systems, Spaceflight Mechanics, Athletic Intelligence in Robotics