Robotics, Machine Learning, Control, Mechanical Engineering

Yashwanth Tekumudi

M: +1-929-***-**** /https://www.linkedin.com/in/yashwanth-tekumudi-4834581b1/ ad5vfj@r.postjobfree.com EDUCATION

University of Delaware Newark, DE, USA

Master of Science in Robotics [Thesis track] Aug 2022- May 2024 Relevant course work: Linear Systems, Machine Learning, Computer Vision, Intro to Robotics, Digital Control, 3.542/4.0 Micro Robotics, Dynamics.

Sathyabama University Chennai, India

Bachelor of Engineering in Mechanical Engineering Aug 2017 - Jul 2021 Relevant course work: Industrial Robotics, Industrial Mechatronics, CAD/CAM, 3.89/4.0 Modern Manufacturing Processes, Theory of machines. ACADEMIC PROJECTS

Design and Fabrication of Swarm automated farm Bot with selective spraying method May 2020 - Jul 2021

• Headed a 4-member team to design and fabricate a decentralized multi-robot system for crop pesticide application. Pioneered a selective spraying method using image recognition with 93.5% efficiency.

• Enhanced swarm operation precision using model-based control (MPC) and Zigbee communication protocol (improved synchronization accuracy by 40%).

Aqua trash detection model Oct 2022 - Dec 2022

• Upgraded an advanced object detection model utilizing EfficientDet on Trash net dataset with 50,000 images.

• Attained 94% model accuracy and 87.5% mean average precision. Camera-Guided Manipulation and Trajectory Optimization Feb 2023 - May 2023

• Implemented a camera-guided system on a KUKA LBR iiwa 7 R800 robotic arm.

• Designed a trajectory for the robot, integrating a PID controller with a 3mm tolerance. Evaluation of Yolo v8 on a microscopic and Macroscopic images Feb 2023 - May 2023

• Coordinated a 5-member team to evaluate object detection models.

• Obtained an accuracy of 83.5% for greyscale images and 91% accuracy for RGB images. Wasserstein GAN Image Generation: Training on CelebA Dataset Oct 2023 - Dec 2023

• Deployed Wasserstein Generative Adversarial Network (WGAN) for image generation on a CelebA dataset with 200,000 images. Line Follower Robot Competition Oct 2023 - Dec 2023

• Led a team of 6, achieving the fastest time on two tracks and securing 2nd place overall.

• Incorporated fuzzy logic and PID control techniques for precise path tracing (6% deviation). Face Tracking Drone Dec 2023 - Feb 2024

• Developed a face tracking algorithm using a PD controller and OpenCV's pre-trained model, achieving 93% accuracy. EXPERIENCE

Research Assistant at HORC LAB University of Delaware May 2023 - Now

• Devised a Multi robot system centralized framework for evaluating swarm control algorithms with omni directional robots (10 robots) within motion capture environment with real-time wireless communication at 40Hz using TCP/IP.

• Achieved accurate trajectory tracking <0.1 m accuracy and demonstrated flocking behaviour in real time. FESTO Internship Jul 2021-Aug 2021

• Executed robot programming projects (KUKA, FANUC, ABB) on CIROS platform, driving a 15% increase in manufacturing output by implementing advanced robotic solutions.

• Gained expertise in PLC programming using CODESYS, Allen Bradley and Rockwell. Class Ambassador at Sathyabama institute of science and technology Aug 2017 – Jul 2021

• Represented student (250 students) interests and effectively resolved grievances with the administration. Prepared comprehensive presentations and proposals.

BHEL(Bharat Heavy Electricals Ltd) Internship Dec 2018 – Jan 2019

• Collaborated closely with engineers in the R&D department.

• Received training in Non-Destructive Testing (NDT) and Quality Control techniques. SKILLS

Programming: Python, C/C++, MATLAB, ROS II, PLC programming (CODESYS, Rockwell, Allen Bradley), Ladder Logic. Tools: OpenCV, TensorFlow, PyTorch, CUDA, Docker, Visual Studio, VScode, Git, LINUX, Embedded Systems. Robotics: Machine Learning, Computer Vision, SLAM, Kalman Filter, Control, Autonomous Agents, CIROS (Kuka, ABB, Fanuc). Design: AutoCAD, CREO, Fusion 360, Additive Manufacturing (FDM), Computer Networking, Pneumatics. ACHIEVEMENTS

• Secured a patent for the project titled "Automatic Pesticide Spraying Robot" (AUTOMATIC PESTICIDE SPRAYING ROBOT-The Patent Office Journal No. IN 344316-001).

• Obtained a merit-based scholarship based on academic excellence (1st Rank) during B.E. in Mechanical Engineering.

• Earned the prestigious NPTEL Elite Certification for the course "Wheeled Mobile Robots" offered by IIT Madras on NPTEL (only 154/1200 candidates certified).

• Published in springer journal - Evaluating the Role of Robotics, Machine Learning and Artificial Intelligence in the Field of Performance Management https://link.springer.com/chapter/10.1007/978-***-**-****-9_30 .

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