Vetted ROS 2 Professionals

“Dual major in Computer Science & Engineering and Electrical Engineering who built a VR-based powered wheelchair assessment simulator with an NGO for disabled clients. Served as software/controls lead, implementing ESP32 head-array firmware (HID keyboard approach), Unity motion/physics and safety logic, and therapist-oriented scoring/logging; achieved <50ms motion variability and reduced collisions by ~50% in user trials.”

“Robotics lead engineer (PhD/agriculture research context) who built and iterated a three-unit, wirelessly coordinated greenhouse data-collection robot—solving real-world alignment and comms reliability issues by redesigning the rail/gear system and moving from RF to ESP Wi-Fi with MAC-addressed control. Strong embedded C/C++ background with full-stack robot control implemented from scratch; beginning exposure to ROS 2 via an upcoming field deployment.”

“Robotics engineer who built an educational/research robotic arm end-to-end, including IK/FK math, simulation-based validation, and ROS2 Humble integration with multiple teleoperation inputs (DualSense and Leap Motion). Also optimized a resource-constrained ESP32-S3 wireless maze robot to stream real-time video and sensor data over WiFi using TCP/HTTP with RTOS-based concurrency and binary struct packing.”

“Undergraduate Research Assistant at Virginia Commonwealth University with exposure to autonomous vehicle and UAV platforms in the Open Cyber City lab, assembling and setting up Duckiebots/Duckiedrones. Built introductory ROS 2 Python projects (ping-pong pub/sub and services) and has some experience setting up Docker for Duckietown-based robotics environments.”

“Controls and Navigation Engineer at Krishiboot Technologies building an AgriTech robot, owning crop-lane path planning, outdoor GNSS navigation, ML model integration for weeds/crops, and multi-sensor localization (encoders + dual IMUs + GNSS via EKF) validated through Gazebo simulation and field trials. Also delivered a ROS2-based food-serving robot with LiDAR SLAM, visual SLAM obstacle avoidance, and Nav2 SMAC/A* motion planning tuned for dynamic restaurant deployments.”

“Robotics software learner building a self-directed recycling robot project in Isaac Sim, integrating ROS2 + Nav2 + SLAM with camera/LiDAR sensing and CV-based object detection. Has prior hands-on ROS2 work creating a YOLO detection node visualized in RViz and has built/optimized simulated line-follower and maze-solver robots in Webots, documenting progress publicly on GitHub and LinkedIn.”

“Robotics software/embedded engineer who helped build an end-to-end perception sensor platform in a two-person team, owning PCB design, ROS architecture (sensor/processing/diagnostic nodes), and documentation. Experienced integrating heterogeneous sensors over CAN with Arduino and optimizing real-time performance bottlenecks (camera and high-frequency streams) using compression, grayscale pipelines, and reduced inference frequency; also containerized the system with Docker.”

“Currently working at CBS Lab in Austria, where they implemented/replicated the "Open World Grasping" research pipeline end-to-end. Built a ROS-based RGB-D perception-to-action system using SAM 2.1 segmentation and MoveIt motion planning to generate grasp poses and execute pick-and-place/sorting with a robotic arm.”

“Perfil junior enfocado en robótica que participó en un macroproyecto de cuadrúpedo teleoperado ("Centauro") y un robot teleoperado sumergible, contribuyendo tanto en manufactura como en software con ROS 2 sobre Linux. Implementó nodos para interpretar comandos desde una interfaz y convertir coordenadas para mover el efector final, y trabajó en comunicaciones distribuidas con ESP32 + módulos CAN; además tiene experiencia en embebidos y simulación con Gazebo/SolidWorks.”

“Robotics software engineer who built a full autonomous navigation pipeline on TurtleBot3 in ROS2 from bring-up and SLAM through custom A* planning, obstacle avoidance, and frontier exploration—without relying on Nav2. Demonstrated strong debugging and performance optimization (QoS fix with AMCL; reduced exploration mapping time from ~12 to <7 minutes) and brings 2+ years of HPE cloud/edge deployment experience with Docker/Kubernetes/Helm and GitHub Actions.”

“Robotics-focused software engineer/technical lead with Google/Android engineering experience, building automation and robotic framework architecture in C++/Python. Has hands-on experience with ROS/ROS2, SLAM/localization/mapping, motion planning, and scaling distributed robotics nodes using Docker/Kubernetes with CI/CD (Jenkins), plus REST API-based integration testing and validation.”