# Advaith Kandiraju > Building Robots | SLAM | Humanoid | Autonomous Systems | Mechanical Design | Sensor Integration Location: San Jose, California, United States Profile: https://flows.cv/advaithkandiraju 👋 Hi, I’m Advaith Kandiraju! A Robotics R&D Engineer by profession and a Mechanical Engineer by foundation, I’m passionate about designing and developing cutting-edge robotic systems that blend creativity and engineering excellence. 🔧 What I Build: My expertise spans Python, C, C++, and MATLAB, along with technologies like ROS2, Gazebo, Git, Arduino, Raspberry Pi, Nvidia IsaacLab, Mujoco, and Jetson Orin Nano. Skilled in SolidWorks, Onshape, PyTorch, TensorFlow, OpenCV, and I specialize in autonomous systems, computer vision, R&D and control systems. 🎓 What I’ve Learned: I recently completed my Master’s in Robotics at Northeastern University (December 2024), where I honed my skills in robotic sensing, control systems, computer vision and legged robots. From building autonomous underwater vehicles to optimizing algorithms for complex environments, I’ve gained extensive experience in bridging hardware and software to create seamless robotic solutions. 💡 What Gets Me Out of Bed: I am a versatile innovator, driven by a commitment to push the boundaries of robotics through high-quality solutions. Whether designing robots from scratch, optimizing algorithms, or solving complex engineering challenges, I’m particularly passionate about leveraging robotic controls to tackle intricate problems in robotics. Let’s connect to share ideas, collaborate, and shape the future of robotics together! ## Work Experience ### Robotics Engineer @ Toyota Motor Corporation Jan 2025 – Present | Georgetown, Kentucky, United States • Program and optimize 6‑axis industrial manipulators (FANUC, NACHI, KAWASAKI) for multi‑variant car body assembly—including high‑ precision roof line adaptations—using TP programming, I/O mapping, and DCS safety zones to ensure synchronized tool trajectories in fast‑ paced production environments. • Deploy robot programs directly on the production floor, conducting real‑time tuning and Sim2Real calibration to reduce cycle time, minimize idle movements, and ensure robust execution under line conditions with varying payloads and tolerances. • Rigorously validate robot motion programs through teach pendant simulation, path optimization, and real‑time collision checks, prioritizing technician safety and customer reliability in accordance with Toyota’s strict safety protocols and JIS/ISO standards. • Interface with cross‑functional teams—SEBI (Safety Engineering for Body Integration), Digital Engineering, Equipment Design, and Quality Assurance—to cross‑verify process feasibility, interlock logic, and fail‑safe sequences across PLCs and robot controllers. • Utilize proprietary Toyota toolchains and data visualization platforms (such as G2, RSLogix, and safety matrix validators) to monitor execution flows, mitigate risks through fault‑tree analysis, and maintain interdepartmental traceability for zero‑defect manufacturing compliance. ### Robotics Engineer @ Rainier Labs Jan 2024 – Jan 2026 | Sunnyvale, California, United States • Deployed NVIDIA Isaac ROS Visual Odometry and SLAM on an Nvidia Jetson Orin Nano‑powered Robot Dog (along with simulation) to perform motion tracking, pose estimation and 3D reconstruction using a Realsense D455 RGBD camera. Simulated the robot behavior on Isaac Sim, and visualized the SLAM‑related data like VO path, SLAM path, Odometry, Velocity, images and 3D point clouds on RViz and rqt. • Developed a robust localization stack for the robot by integrating data from 2D RPLidar, IMU, and stereo cameras. Implemented AMCL‑based localization on pre‑loaded maps, and enabled real‑time SLAM using only Lidar data in the absence of wheel odometry. Utilized Luxnois camera boards for processing and stereo depth sensing. • Conducted Sensor fusion of RP‑LiDAR, RGBD Camera, Laser sensor, and IMU for robust Navigation stack; performed extensive debugging to resolve sensor discrepancies and ensure coherent multi‑sensor data fusion. • Collected 3D point cloud data, which was later converted into 2D occupancy grid to develop a .PGM map. Conducted Semantic Segmentation for accurate feature labeling and validation of map quality prior to web deployment. • Established inter‑system integration between ROS2 and ROS1 (via Docker containers) for real‑time teleoperation; debugged network and node‑bridge issues for seamless cross‑platform control from ROS2.0 to the robot via the node in Docker. • Designed and developed the mechanical architecture of the autonomous robot dog (humanoid‑legged layout) using Onshape and SolidWorks; conducted validation through FEA tools like Hyperworks. Prototyped mechanical fixtures for the robot, finalized designs for vendor manufacturing, and resolved mechanical, CAN, and Ethernet issues to ensure reliable autonomous operation. ### Teaching Assistant @ Northeastern University Jan 2023 – Jan 2024 | Boston, Massachusetts, United States ### Graduate Student @ Northeastern University Jan 2022 – Jan 2024 | Boston, Massachusetts, United States ### Research and Development Co-op @ Waters Corporation Jan 2023 – Jan 2023 | Milford, Massachusetts, United States • Assisted in the testing and analysis of various materials for a specific project, evaluating their compatibility with project requirements. Conducted tensile, compression, and hardness tests for material selection and future design decisions • Supported the engineering team in creating detailed CAD drawings for components and assemblies. Contributed to the documentation of design changes, ensuring accurate and up-to-date records. Developed proficiency in AutoCAD and contributed to maintaining an organized and accessible design database • Participated in the prototyping phase of a new product, assisting in the fabrication and assembly of prototypes. Contributed to the testing process, documenting results and providing feedback for design improvements • Applied Random Forest and Gradient Boosting ML models to predict potential equipment failures for a proposed robotic assembly line. Integrated these models with a priority-based scheduling algorithm to plan maintenance during non-peak hours to boost efficiency by reducing the overall downtime by 29% ### Robotics Engineer - Product Design @ Vyjayanthi Movies Jan 2021 – Jan 2022 | Hyderabad, Telangana, India • Collaborated with a team of 5 Product Designers and created a full-scale vehicle prop BU-JZ-1. Oversaw the intricate 3D printing of a miniature version, seamlessly integrating motors, motor drivers, RC systems, and microcontrollers for scenes designated for advanced VFX enhancement by the CGI team • Blow-molded the vehicle’s windshield using treated acrylic at 340°F in an industrial oven, ensuring precision and clarity. Additionally, engineered a levitation mechanism for a scaled model to achieve stunning visual effects • Collaborated closely with the production design and visual effects teams, contributing to the vehicle’s overall aesthetic and functional design. Managed the assembly and testing of the prop to meet rigorous filming schedules and quality standards ### Summer Research Intern @ IIIT Hyderabad Jan 2021 – Jan 2021 | Hyderabad, Telangana, India Research and development of a novel, hybrid multimodal robotic drone to synergize grasping, manipulation, and locomotion. The Multimodal drone is capable of performing aerial grasping/manipulation. The grasper has the ability to grip, perch and land. ### Lead Engineer - Robotics (Mechanical) @ AUV-IIITDM Kancheepuram Jan 2020 – Jan 2021 • Led the Mechanical design of an Autonomous Underwater Vehicle (AUV), including the fabrication of the entire vehicle • Tested and validated the AUV’s design in virtual environments like ROS & Gazebo, and designed CAD models of the AUV along with its components using software such as Solidworks and Fusion 360 • Calibrated the AUV’s stereo cameras, LiDAR, along with other sensors and built algorithms for image processing, feature extraction, & object detection to implement 3D reconstruction, stereo vision & visual odometry for the navigation • Decreased the manufacturing cost of the AUV by 19% in comparison to the previous version by utilizing new manufacturing methods such as 3D printing and blow moulding ### Mechatronics Intern @ Box26 Solutions Jan 2020 – Jan 2020 | Hyderabad, Telangana, India Work related to revolutionizing cooking, with the help of fully automated smart cookware that prepares a complete meal without any human supervision, given the ingredients and the recipe. Primarily worked on designing and simulating CAD models in for the containers of the cookware like gasket, slider and interlocking system. These models have been approved and integrated within the final prototype. Also worked on Arduino coding the logic for the shape-shifting mechanism. Apart from this, 3D printed and laser cut the components of the cookware like spatula, vessel holders, slider, spatula holders, clamps and gears. ## Education ### Master of Science - MS in Robotics Northeastern University Jan 2022 – Jan 2024 ### Bachelor of Technology - BTech in Mechanical Engineering Indian Institute of Information Technology Design & Manufacturing Kancheepuram ## Contact & Social - LinkedIn: https://www.linkedin.com/in/advaithkandiraju --- Source: https://flows.cv/advaithkandiraju JSON Resume: https://flows.cv/advaithkandiraju/resume.json Last updated: 2026-04-07