Sonar-Based SLAM for Autonomous Vessels
Master ThesisGNSS-free localization research using sensor fusion (IMU + DVL + Sonar). Implemented LSTM neural network for underwater odometry in ROS2.
Building intelligent systems that bridge robotics and AI to solve real-world automation challenges.
Hey There!๐ I am Sushmitha Govindaraj, a results-driven Robotics Engineer currently pursuing my M.Sc. in Automation & Robotics at TU Dortmund, Germany. With a strong foundation in AI-powered solutions, autonomous systems, and industrial automation, I specialize in developing intelligent systems using deep learning, robotic manipulation, and sensor data fusion.
While my primary focus remains on robotics, Currently at Wilo Group, I gain extensive experience leveraging Databricks and PySpark for industrial data science solutions, bridging the gap between big data and autonomous control. My experience spans from working on sonar-based SLAM for autonomous vessels to optimizing signal processing in embedded systems through AI-driven modeling.
I thrive on solving complex challenges and creating innovative solutions that enhance autonomy, adaptability, and efficiency in robotics.
GNSS-free localization research using sensor fusion (IMU + DVL + Sonar). Implemented LSTM neural network for underwater odometry in ROS2.
A sophisticated autonomous research system powered by Claude Sonnet 4 and LangGraph that intelligently plans, researches, analyzes, and visualizes information.
Production-ready document QA system using Claude Sonnet 4 with TF-IDF embeddings + FAISS for efficient search and source citation support.
Real-time CV for autonomous navigation using Canny edge detection, Hough Transform, ROI masking, and temporal smoothing.
Robotic system for automated medical sample handling with vision-based detection to reduce human intervention.
AI models for optimizing high-speed PCB signal integrity. Dataset creation via SPICE simulations + Zuken eCADSTAR.
5-axis robotic arm on Mecanum wheeled base for precise pick-and-place in dynamic environments.
Research on human-robot interaction using RFID for autonomous industrial transport and tracking
View PublicationDesign and integration study of a 5-axis manipulator on a Mecanum base
View PublicationInterested in robotics, AI, or autonomous systems? Let's connect and explore how we can collaborate on innovative projects.