Miguel Mendes

→ Sensor Fusion → Collision Warning System → Automatic Train Operation

Software development for autonomous driving solutions. → Processing and manipulation of 3D LiDAR scan data; → Algorithm development for perception features (object detection, ground estimation, ...) with both ML/DL and classical approaches. → Maintenance and improvement of Jenkins pipeline; → Architectural design of components using UML standard practices. Skills / Technologies: C++11 / C++14, Python, ROS, TensorFlow / Keras, PyTorch, PCL, Linux, Jenkins, IBM Rhapsody, DOORS Next Gen.

→ Control of the robotic manipulator Kinova JACO using computed torque techniques based on dynamic models and task space methodologies; → Demonstration of a possible tele-echographic setup to the ROSE consortium; → Design and application of control architectures specifically for human-robot interaction such as the impedance control with the desired poses being generated by the space mouse which in turn is controlled by the user;

Automation and Robotics.