(M/W) AI & Control Intern – Whole-Body Control

Wandercraft; Paris; Sur place; EUR 70 000 - 120 000; Plein temps

Résumé du poste

Wandercraft seeks a researcher/engineer to advance whole-body control for exoskeletons and humanoid robots in Paris, from mathematical formulation to real-robot deployment. You will tackle locomotion, manipulation and multi-contact control with emphasis on robustness and real‑time execution.

Working closely with control, mechanical, electronics, perception and software teams, you will implement trajectory optimization, estimation, and learning-based approaches when relevant while writing

Qualifications

• Master’s or PhD degree in Robotics, Controls, Optimization, Applied mathematics, or related scientific field.
• Hands-on experience with robotics, control, motion generation, trajectory optimization or related algorithmic development.

Responsabilités

• Develop whole-body control algorithms for floating-base robots.
• Design control strategies using linear and nonlinear control, MPC and NMPC.
• Develop online and offline trajectory optimization and motion generation algorithms.
• Design and improve whole-body trajectory tracking for locomotion and manipulation.
• Model robot dynamics, contacts and interactions with the environment.
• Develop or integrate state-estimation algorithms using sensor data.
• Explore learning-based approaches, including reinforcement learning, when relevant.
• Write efficient, maintainable software in C++ and Python.
• Test, debug and validate algorithms directly on exoskeletons and humanoid robots.

Connaissances

C++

Python

Robotics

Control theory

Machine learning

Algorithmics

Formation

Master’s or PhD in Robotics/Controls/Applied mathematics

Description du poste

Within Wandercraft’s Whole Body Control team, you will develop control algorithms for exoskeletons and humanoid robots, from mathematical formulation and simulation to deployment and validation on real robots.

You will work on challenging robotics problems involving locomotion, manipulation, multi-contact control and whole-body motion generation, with a strong focus on robustness, performance and real-time execution.

Reporting to the Head of Whole Body Control, you will work closely with other control engineers as well as the mechanical, electronics, perception and software teams.

Depending on your background and interests, your work may include:

• Develop whole-body control algorithms for floating-base robots
• Design control strategies using linear and nonlinear control, MPC and NMPC
• Develop online and offline trajectory optimization and motion generation algorithms
• Design and improve whole-body trajectory tracking for locomotion and manipulation
• Model robot dynamics, contacts and interactions with the environment
• Develop or integrate state-estimation algorithms using sensor data
• Explore learning-based approaches, including reinforcement learning, when relevant
• Write efficient, maintainable software in C++ and Python
• Test, debug and validate algorithms directly on exoskeletons and humanoid robots
• Contribute to the architecture and long-term technical direction of the control stack

Diploma: Master’s or PhD degree in Robotics, Controls, Optimization, Applied mathematics, or related scientific fieldRequired experience: Hands-on experience with robotics, control, motion generation, trajectory optimization or related algorithmic development, through industry, research or significant academic projects.Skills:Programming (C++/Python) - Autonomous levelAlgorithmics - Autonomous levelRobotics (kinematics, dynamics, working with sensor data) - Autonomous levelControl theory - Autonomous levelMachine learning - Basic knowledge