Anirudh P. on Tal
Headline
Robotics Engineer at NewSpace Research and Technologies
About
With a fervent passion for robotics, I specialize in developing innovative solutions at the intersection of technology and innovation. My expertise spans Reinforcement Learning, Deep Learning, and Machine Learning, complemented by a solid foundation in sensor fusion with technologies such as LiDAR, stereo cameras, IMU, and odometry. I have developed and simulated dynamic equations for a navigation-based multi-robot system, specifically focusing on drones in RViz using ROS2 and Python. The implemented control algorithm encompasses velocity consensus, flocking behavior, and obstacle avoidance, demonstrating my proficiency with multi-robot systems, ROS, and Python. As a Robotics Engineer, I have effectively enhanced the Hello Robot Stretch 2 performance at NICE Robotics Lab. My efforts in troubleshooting software issues, improving navigational accuracy, and optimizing pick-and-place procedures resulted in a 20% increase in efficiency. Additionally, I have performed sensor calibration of LiDAR and fine-tuned actuator movements, ensuring precise and reliable system performance. I have implemented a control algorithm for a Partially Automatic Vehicle (PAV) to stabilize the vehicle during a tire blowout event, utilizing a shared control framework between the driver and the automatic controller. I have also integrated Yolov8 into the Meta platform's navigation framework to enhance the semantic segmentation module, improving autonomous robot performance. Furthermore, I have incorporated the RRT* algorithm to avoid moving obstacles and have modeled and controlled a robotic arm in Simulink and MATLAB for trajectory-tracking tasks. Additionally, I have applied sensor fusion techniques, such as the Extended Kalman Filter, for robot localization in ROS using TurtleBot3. My projects also include the autonomous parallel parking of a bicycle-car model using PyTorch, Python, and a neural network controller. Skills: Python, C++, Java, PyTorch, OpenCV, ROS, ROS 2, MATLAB-SIMULINK, Gazebo, Git, Docker, Jupyter Notebooks Contact details: Mail id: anirudhp3010@gmail.com Ph no: +1 (602) 849-3883 GitHub: https://github.com/anirudhp3010 Website: https://anirudhp3010.github.io/ LinkedIn : https://www.linkedin.com/in/anirudh-pydah-862514191/
Work experience
Robotics Engineer at NewSpace Research and Technologies, Mar 2026 - Aug 2026 · 6 mos, Bengaluru
Research Fellow at Department of Computer Science and Engineering, IIT Jodhpur, Oct 2025 - Feb 2026 · 5 mos, Jodhpur, 3D Point Cloud Localization & Forecasting for Autonomous Vehicles
Software Engineer - Computer Vision & AI at 3rdiTech Inc., Nov 2024 - Sep 2025 · 11 mos, Bengaluru, Karnataka, India, Writing Software for Gimbaless and EO/IR pods.
Robotics Software Intern at Bhairav Robotics Pvt Ltd, Jul 2024 - Oct 2024 · 4 mos, Kakinada, Andhra Pradesh, India, Making customized Quadruped/Humanoid Robots walk in Isaac Sim
Robotics Student Engineer | Programming, Testing at Arizona State University, Jan 2023 - Apr 2024 · 1 yr 4 mos, Tempe, Arizona, United States, Neuro-symbolic Intelligent Cyber-physical systEms (NICE) lab: 1) Implemented navigation and computer vision algorithms on the Stretch 2 Hello Robot using ROS and Python to identify objects and perform pick-and-place tasks. 2) Simulated a decentralized, probabilistic algorithm code to control the density distribution of a robotic swarm using a time-varying Markov chain, based on tasks specified in graph temporal logic (GTL). 3) Tested TL-CFA (Temporal Logic-Based Causal Fairness Analysis) on gender bias and life expectancy datasets to identify temporal biases, including direct, indirect, and spurious effects, within the data.
Education
Master of Science - MS, Mechatronics, Robotics, and Automation Engineering, Arizona State University
Bachelor of Engineering - BE, Mechanical Engineering, Birla Institute of Technology and Science, Pilani - Goa Campus
