Robotics Freelancer
Schlagwörter
Skills
Python, ROS2, C++, ROS, JAVA, Robot Perception, sensor fusion, deep learning, TensorFlow, Robot kinematics, dynamics, and motion planning, OpenCV, PCL, MS Office, Git, MoveIt
Projekthistorie
10/2022
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bis jetzt
- Focussing on projects with applications in automotive, medical, and industrial robotics.
- Contributing to projects with knowledge of ROS, Python, C++, computer vision, sensor data, and complex algorithms.
- Providing consultation on tech architectures, code workflow, and end-to-end tech project planning with the ASPICE framework.
- With good communication and presentation skills in German and English, I will be able to deal with customers and stakeholders in Germany and internationally.
02/2023
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bis jetzt
Head of Scene Understanding
Motor AI GmbH
(10-50 Mitarbeiter)
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Head of a Tech team comprising 6 members handling the topics of localization, sensor fusion, object state estimation, future scene prediction, and traffic laws understanding. Product -: Level 4 Self-driving car
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Creating system architectures, conducting code reviews, system documentation defining coding standards, and strategies for unit, integration, and system tests.
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Regular coordination with team members, stakeholders, and customers. Following the SCRUM methodology with 2 weeks sprint. Conducting interviews.
02/2022
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01/2023
Localization and Sensor fusion engineer
Motor Ai GmbH
(Automobil und Fahrzeugbau, 10-50 Mitarbeiter)
○ State estimation and localization of Level-4 autonomous car in an unknown
environment with the fusion of uncertain GNSS, INS, and vehicle’s CANbus data.
○ The solution was developed based on probabilistic models such as variants of the
Kalman filter and learning-based models such as the Madgwick filter.
○ Additionally providing Lidar, and camera-based visual-inertial odometry
measurements to calculate pose graphs for estimating bias in IMU.
○ In charge of sensor fusion from multiple LiDARs, RADARs, and cameras.
○ The work includes all three modules of temporal calibration, extrinsic calibration,
and data fusion from all the sensors.
○ Managing a team of 4 people. Following the SCRUM framework with 2 weeks
sprint and daily stand-ups. Furthermore taking interviews regularly.
○ ROS2, C++, and Python as software tools. Software development based on ISO
26262 norms and CI/CD workflow. Continuous on-filed testing.
environment with the fusion of uncertain GNSS, INS, and vehicle’s CANbus data.
○ The solution was developed based on probabilistic models such as variants of the
Kalman filter and learning-based models such as the Madgwick filter.
○ Additionally providing Lidar, and camera-based visual-inertial odometry
measurements to calculate pose graphs for estimating bias in IMU.
○ In charge of sensor fusion from multiple LiDARs, RADARs, and cameras.
○ The work includes all three modules of temporal calibration, extrinsic calibration,
and data fusion from all the sensors.
○ Managing a team of 4 people. Following the SCRUM framework with 2 weeks
sprint and daily stand-ups. Furthermore taking interviews regularly.
○ ROS2, C++, and Python as software tools. Software development based on ISO
26262 norms and CI/CD workflow. Continuous on-filed testing.
09/2019
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01/2022
Research Assistant
Fraunhofer IFAM
(Automobil und Fahrzeugbau, 5000-10.000 Mitarbeiter)
* ROS, C++ & JAVA application on markerless 6-DOF pose estimation and tracking of
a moving object using an Intel RealSense RGB-D camera.
* Python codes on the inverse and forward kinematics, and robot-to-camera
calibration.
* ROS, C++ & Python application LiDAR-based Simultaneous Localization and
Mapping (SLAM) of multiple mobile robots.
* Sensor fusion of camera and LiDAR to integrate camera-based visual odometry
and landmark tracking, as an additional measurement to SLAM.
a moving object using an Intel RealSense RGB-D camera.
* Python codes on the inverse and forward kinematics, and robot-to-camera
calibration.
* ROS, C++ & Python application LiDAR-based Simultaneous Localization and
Mapping (SLAM) of multiple mobile robots.
* Sensor fusion of camera and LiDAR to integrate camera-based visual odometry
and landmark tracking, as an additional measurement to SLAM.
10/2020
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03/2021
Software Developer
Stadtreinigung Hamburg
(Öffentlicher Dienst, >10.000 Mitarbeiter)
* Developed a simulation of an autonomously navigating trash bin in a ROS Gazebo
simulator.
* Included features like omnidirectional control, SLAM Gmapping, and global and
local path planning (Video link).
* SCRUM project management methodology for software development.
simulator.
* Included features like omnidirectional control, SLAM Gmapping, and global and
local path planning (Video link).
* SCRUM project management methodology for software development.
04/2020
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09/2020
Research Assistant
Institute of Medical Technology, TUHH
(10-50 Mitarbeiter)
* ROS, Python, and C++ application on medical robotics for autonomous needle
insertion inside a human skeleton using a 7-Dof Panda lightweight robot.
* Tasks: RGB-D image data processing, segmentation and model-based registration
of skeleton and the surroundings, eye-in-hand calibration. (video link)(https://drive.google.com/file/d/11_dp_k2GyQzR79V6xTU8YS1VQ1Az5_pV/view?usp=sharing)
insertion inside a human skeleton using a 7-Dof Panda lightweight robot.
* Tasks: RGB-D image data processing, segmentation and model-based registration
of skeleton and the surroundings, eye-in-hand calibration. (video link)(https://drive.google.com/file/d/11_dp_k2GyQzR79V6xTU8YS1VQ1Az5_pV/view?usp=sharing)
Reisebereitschaft
Weltweit verfügbar
I am willing to travel but would prefer remote work.