About Sree Gautham Alluri

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    United States
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About me

Throughout my academic and professional journey, I have demonstrated proficiency in key areas such as motion planning, SLAM, computer vision, and machine learning. My experience at DRONES Lab, where I am currently a Graduate Student Researcher, has provided me with valuable insights into multi-robot collaboration and cutting-edge advancements in the field. Additionally, my role as a Robotics Engineer Intern at Hombot allowed me to contribute to the development of autonomous swarm robots and gain practical experience in motion planning and sensor integration.

One of my notable achievements includes leading a team in the development of autonomous robots for a restaurant, where I successfully implemented motion planning algorithms and contributed to the creation of a path planning algorithm for wheeled and quadruped robots. This project not only showcased my technical skills but also demonstrated my ability to collaborate with cross-functional teams to deliver innovative solutions.

In my tenure at Accenture Innovation Center as a Research and Development Engineer, I played a pivotal role in the creation of an occupancy grid map and network map using LIDAR and stereo camera data for warehouse ground vehicle robots. My contributions led to a 2x improvement in solve time for ground vehicles, and I was honored with the ACE (Accenture Celebrates Excellence) award for innovative solutions.

As an individual committed to continuous learning and innovation, I have actively participated in various robotic competitions, winning awards and recognition. My dedication to pushing the boundaries of material handling robotics is evident through my hands-on contributions and leadership as the Best Performer of the Month at Accenture.

I am excited about the opportunity to bring my technical skills, problem-solving abilities, and passion for robotics to a dynamic organization like yours. I am confident that my unique blend of academic knowledge and practical experience makes me a valuable asset to any project or team.

Thank you for taking time to go through my bio. Please reach out to me at allurisreegautham@gmail.com if you have any opportunities for me.

*ACTIVELY LOOKING FOR ROBOTICS ENGINEER ROLES.*

 

Education

  • 2022 - 2023
    The State University of New York at Buffalo

    Master of Engineering and Applied Sciences – Robotics

    ➢ Relevant Coursework: Robotics-1, Robotics Algorithms, ROS, MATLAB, Control Systems and Design, Probability, Fundamentals of AI, Machine Learning, Computer Vision and Image Processing, Human-Machine Interaction, Deep Learning for Robotic Applications, Kinematics, Dynamics, Mechanisms, Structural Analysis, Actuators, Sensors, Data Structures, Robotic Frameworks/tools, Linux Operating System ➢ Robot Algorithms: Path Planning, SLAM, Localization, Mapping, Navigation, State Estimation, Obstacle Avoidance, Controls, Trajectory, Optimization, Deep Learning models, Decision-making, Kinematics/Dynamics, Reinforcement ➢ Deep Learning / Reinforcement Learning: Utilized Supervised Learning for classifying gestures from a user to understand the commands of user for an autonomous vacuum robot. Trained discrete/continuous behavior and continuous/discrete action Reinforcement Learning environments including Mujoco/Box 2D from Gym • Path Planner – Implemented A*, Dijkstra, BFS, DFS, RRT, RRT* path planning algorithms to plan from a User defined start to goal. • Classified predefined gestures using 1$ & Template based classifiers and controlled the robot’s actuation in ROS based on Gesture given by user. • Built Robot Vacuum cleaner using robot algorithms taking input from user and classifying using Template based classifier in V-rep using Python. • Built object identification and classified images from ImageNet using PyTorch library. • Expert in math topics like 3D geometry, Trigonometry, Coordinate Systems and Transformations that are foundation of Robotics. • Robot-wars: Constructed a multipurpose war robot to attack by 2 teeth drum at one end, and wedge from another end to defend, for competitions. • Displayed user input on LED display formed by a spinning ceiling fan, sensors and LEDs transmitting information wirelessly. • As a Leader of The Robotics Club for two semesters, revolutionize the club by collaborating with multiple Universities on research projects/ideas

  • 2015 - 2019
    Jawaharlal Nehru Technological University

    Bachelor of Technology, Electrical, Electronics and Communications Engineering

    Grade: 3.31 Activities and societies: Executive member of \The Robotics Club\ (TRC) Active member of \National Service Scheme\ (NSS)Activities and societies: Executive member of \The Robotics Club\ (TRC) Active member of \National Service Scheme\ (NSS) Active participant of Robotics Competitions and Fests Organized Robotics Competition -\Robowars\ at University

Experience

  • 2022 - Present
    DRONES Lab, UB, USA

    Graduate Student Researcher

    • Achieving to collaborate with 9 other robots to explore 100 sq ft of area and map the environment effectively.
    • Developing a Multi-Robot Agent for collaborative mapping in dynamic environments.
    • Implemented motion planning algorithms for Spot robot using moveIt in ROS.
    • Utilized Google’s Cartographer for 3D mapping with LIDAR data.
    • Optimized algorithms for customized movements and efficient processing of complex tasks.
    • Deployed algorithms in Jetson controller of Spot Robot improving communication with external modules for MRA.

  • 2019 - 2021
    Accenture Innovation Center

    Research and Development Engineer

    • Created occupancy grid maps and network maps using LIDAR and stereo camera data.
    • Developed obstacle avoidance for warehouse ground vehicle robots, achieving 2x solve time improvements.
    • Collaborated with cross-functional teams to ensure seamless integration with hardware components.
    ➢ Recognized with ACE award for innovative solutions and \Best Performer of the Month\ for project contributions.

  • 2021 - 2022
    Tata Services

    Software Engineer

    • Improved ACC modules: Motion Planning, Path planning to satisfy system requirements and optimized performance using libraries.
    • Worked on Non-Linear paths using customized Motion Planning libraries to reduce response time and increase accuracy.
    • Developed Vision algorithms to identify lanes from Vehicle’s rear camera.

  • 2021 - 2022
    Surya Solutions (Restaurant Innovation)

    Researcher

    • Developed path planning algorithms for wheeled and quadruped robots in a restaurant setting.
    • Implemented A-star and Dijkstra algorithms for path planning.
    • Designed and verified PID controllers for wheeled robots, achieving 28% collision reduction.
    • Utilized IMU, ultrasonic sensors, AutoCAD, and ROS for robot design and implementation.

  • 2018 - 2019
    Hombot

    Robotics Intern

    • Developed autonomous swarm robots using a master-slave approach.
    • Performed Forward and Inverse Kinematics, integrated circuitry with SLAM for robot coordination.
    ➢ Awarded as the best intern, reduced collision incidents by 90%.

  • 2017 - 2019
    Defense Research and Development Organization

    Research Assistant

    • Developed an HRI platform for a six-DOF robotic arm to fix missile connectors.
    • Applied CV algorithms on 3D printed materials for selective pick and place operations.
    ➢ Recognized with letters of appreciation from DRDO Director and university research dean

Skills