Robotics Control Intern: Whole-Body Motion & AI

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

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