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Santheep YESUDASU

I am a

PhD-level R&D Engineer with 7+ years designing intelligent robotic systems for industrial automation, smart agriculture, logistics, and autonomous vehicles.

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Who I Am

About Me

Santheep YESUDASU
PhD
Douai, France WAIROS Founder French National

Robotics and Computer Vision R&D Engineer with a PhD and 7+ years of experience designing and deploying intelligent robotic systems for industrial automation, smart agriculture, logistics, infrastructure inspection, and autonomous vehicles.

Expertise in ROS 2, multi-sensor fusion, 2D/3D perception, deep learning, autonomous navigation, and robot manipulation. Involved in Horizon Europe and Interreg projects with multidisciplinary European partners. National Jury Member for WorldSkills France in Robotics & Automation.

  • Founder & CEO of WAIROS – Robotics & AI Consulting (2025–Present)
  • R&D Engineer at CRISTAL UMR CNRS 9189 — EU & Industrial Projects
  • PhD – AI-based detection & pose estimation for autonomous depalletizing
  • Lecturer at Polytech Lille – Python, Robotics, Computer Vision, AI
Email Me LinkedIn +33 7 67 10 48 60
Career Path

Experience

Consulting

Founder – Robotics & AI Consultant

WAIROS
2025 – Present Douai, France
  • Consulting in Computer Vision, Robotics, ROS 2, and Industrial Automation.
  • Developing AI-powered perception, inspection, and autonomous robotic solutions for industrial applications.
  • Designing software architectures integrating computer vision, sensor fusion, and robotic control systems.
ROS 2 Computer Vision AI Industrial Automation
Research

R&D Engineer – Computer Vision, Robotics & AI

CRISTAL UMR CNRS 9189
2023 – 2026 Lille, France
Key Projects: CUEIBOT BEPROACT SAFARI RITMEA
  • Developed CV & AI inspection systems using YOLO, ROS 2, and multi-object tracking for infrastructure monitoring and port surveillance.
  • Designed a multi-camera 2D & 3D perception system (4× Intel RealSense D405) for autonomous mushroom detection and robotic harvesting with OptiTrack-based calibration.
  • Developed ROS 2 autonomous vehicle software stacks including CAN communication, localization, navigation, motion planning, sensor fusion, teleoperation, and UAV-integrated AI inspection.
  • Engineered real-time edge-AI solutions for crack, pothole, lane, crane, and asset detection on NVIDIA Jetson and Raspberry Pi platforms.
YOLO ROS 2 Intel RealSense LiDAR NVIDIA Jetson Sensor Fusion Horizon Europe
Teaching

Lecturer

Polytech Lille
2023 – 2026 Lille, France
  • Taught Python programming, Robotics, Computer Vision, and AI to engineering students.
  • Supervised Master students on academic and industrial projects in AI, robotics, and autonomous systems.
Python Robotics AI Teaching
PhD Research

Researcher – Computer Vision & Robotics

ISEL – Normandie Université
2020 – 2023 Le Havre, France
  • Developed AI-powered perception systems for autonomous dual-arm robotic depalletization and package handling.
  • Designed deep-learning algorithms for object detection, pose estimation, corner/edge extraction, and localization of featureless cardboard packages.
  • Implemented synchronized dual-arm manipulation and force-position control for industrial logistics automation.
Deep Learning Pose Estimation RGB-D Dual-Arm Manipulation PyTorch
Industry

Automation & Robotics Engineer Apprentice

ArcelorMittal & CRISTAL Lab – Polytech
2019 – 2020 Lille, France
  • Developed and integrated robotic abrasion systems using KUKA industrial robots for automated surface treatment.
  • Implemented real-time force-control algorithms and integrated EtherCAT/Modbus communication networks using Beckhoff I/O modules.
  • Programmed KUKA robots using KRL, RSI, and KUKA WorkVisual; designed HMI and safety functionalities.
KUKA KRL / RSI EtherCAT Modbus Force Control
Industry

Automation & Robotics Engineer Apprentice

Polytech Lille
2018 – 2019 Lille, France
  • Designed an automated nozzle positioning system on a tripod platform using CAN communication, WAGO Modbus, and Festo automation.
  • Developed PLC control software in CODESYS and Festo; designed and implemented a custom G-code interpreter for trajectory generation.
  • Developed a complete industrial 3D printing system integrating hardware control, communication protocols, and automated motion execution.
CODESYS PLC CAN Bus G-code 3D Printing
Academic Background

Education

PhD in Robotics & Artificial Intelligence Normandie Université 2020 – 2023

AI-based detection and pose estimation for manipulation of packages under constraints by humanoid torso.

Master in Robotics & Transportation École Polytechnique Universitaire de Lille & École Centrale de Lille 2018 – 2020

Abrasion Robot (M2) & 3D Printing Robot (M1)

Bachelor in Computer Vision & Robotics Université de Bourgogne 2017 – 2018
BEng (Hons) Electrical & Electronics Engineering University of East London 2012 – 2015
What I Know

Technical Skills

Programming & Development

Python C++ C Linux Docker Git MATLAB REST APIs Cloud Computing

Computer Vision & AI

OpenCV PyTorch TensorFlow YOLO Object Detection Segmentation Multi-Object Tracking Pose Estimation 3D Perception Generative AI

Robotics & Autonomous Systems

ROS 2 ROS MoveIt Motion Planning Localization Navigation Sensor Fusion AGV Autonomous Driving UAV Integration

Sensing & Perception

LiDAR Intel RealSense RGB-D Cameras IMU GPS Point Cloud Processing OptiTrack

Industrial & Fieldbus Automation

CAN Bus EtherCAT Modbus PLC / CODESYS Beckhoff WAGO LabVIEW KUKA (KRL/RSI) ABB Universal Robots FANUC FESTO
Expert Advanced Intermediate
Research Output

Publications

2024
ICINCO 2024 Porto, Portugal

Advanced Techniques for Corners, Edges, and Stacked Gaps Detection and Pose Estimation of Cardboard Packages in Automated Dual-Arm Depalletising Systems

International Conference on Informatics in Control, Automation and Robotics (ICINCO 2024), Vol. 2, pp. 264–273

Computer Vision Pose Estimation Depalletizing Dual-Arm Robotics
2023
MMAR 2023 Międzyzdroje, Poland

Depalletisation Humanoid Torso: Real-time Cardboard Package Detection Based on Deep Learning and Pose Estimation Algorithm

27th International Conference on Methods and Models in Automation and Robotics (MMAR 2023)

Deep Learning Real-time Detection Humanoid Robotics Logistics
WorldSkills France – National Jury Member Robotics & Automation category
Horizon Europe & Interreg Projects CUEIBOT · BEPROACT · SAFARI · RITMEA
Let's Connect

Get in Touch

Whether you have a robotics project, research collaboration, consulting inquiry, or just want to discuss AI and autonomous systems — I'd love to hear from you.

Available for new opportunities & consulting