Localization and Mapping with Deep Learning

Change the face of robotics with us.

At Enchanted Tools, we are bringing a new generation of robots to life. Combining world-class engineering expertise and the power of imagination, we plan to make everyone’s life better with robotic characters, by tackling concrete issues and needs.

Why you should join us:

• You will have a unique opportunity to work on next-gen robots, cracking technological lockers of interaction, grasping and navigation;
• You will be an early player of a super ambitious and fast-growing adventure;
• Our founder is a pioneer: Jérôme Monceau was the lead designer of both Nao and Pepper, and the Executive VP of Aldebaran / Softbank Robotics;
• Our team gathers in the middle of Paris more than 50 robotics virtuosi and as many dreamers.

As member of Enchanted Tools, you will thrive in a multicultural team, with a complete multidisciplinary approach:

• Mechatronics, impedance control, robotics arm, haptics;
• Electronics;
• Character design, UI/UX;
• AI, NLU, NLP, ASR, TTS;
• Software architecture (system, embedded, cloud...);
• Machine learning, image processing sensors fusion…

Context:

At Enchanted Tools, We're currently building a "more than useful" robot to enchant the world with the use of Mechatronics, AI, Robotics and Animation technologies.
The intern will be part of the navigation team and participate in the development of our new robot navigation system.

Objective:

• Research state of art techniques for SLAM and 3D reconstruction deep learning models.
• Make a selection of applicable models for robotics/embedded platforms. This analysis will also contain “off the self” cameras with embedded computing.
• Implement and integrate sensor fusion algorithms.
• Test and benchmark selected models on real hardware platforms.

Profile:

Informatics or Robotics engineering last year student with a specialization on Deep Learning computer vision. 

Skills:

• Deep Learning for computer vision.
• C++ and Python programming language
• Knowledge of pytorch, tensorflow, tensorRT.
• Linux, embedding Linux.
• Ideally knowledge of Myriad VPU and/or Jetson architectures.