(M/W) AI & Control Engineer Intern - Manipulation

Wandercraft is strengthening its Manipulation team to tackle challenging industrial use cases with Calvin, our humanoid robot. We are looking for an intern to explore how simulation can help us train manipulation policies while reducing the amount of data that needs to be collected on the real robot. The internship will combine robotics simulation, imitation learning and hands-on experiments on real hardware, with a strong focus on using simulation to improve real-world data efficiency.

During the internship, you will work closely with the Manipulation team to: Reproduce our current experimental manipulation setup in a robotics simulator such as NVIDIA Isaac Sim, including the robot, manipulated objects, and relevant elements of the environment.

Build a pipeline to generate manipulation demonstrations in simulation and use them to train imitation-learning policies. Investigate and implement techniques to reduce the sim-to-real gap, for example through domain randomization, system identification, sensor and actuator modeling, or visual augmentation.

Evaluate the resulting policies both in simulation and on the real robot and analyze which aspects of the simulation are most critical for successful transfer. Depending on the progress of the internship, explore Reinforcement Learning approaches to improve existing policies, using simulation to efficiently generate additional experience.

• Diploma : You are currently pursuing an engineering degree, Master’s degree, or equivalent, with a specialization in robotics, artificial intelligence, control, or a related field. You have a strong interest in robotic manipulation and learning-based robotics, and you enjoy working at the intersection of algorithms and real-world experiments. Experience with some of the following would be particularly valuable: Robotics simulation, ideally Isaac Sim Machine Learning and PyTorch Imitation Learning and/or Reinforcement Learning Robotics fundamentals: kinematics, dynamics and coordinate transformations Computer vision and image processing Python and software development in a Linux environment You are rigorous, and can clearly explain your calculations and algorithms. You are curious and analytical, able to stay up to date with new technologies and learn effectively from online documentation, interaction with the team and literature reviews. •

Python

• Autonomous level C++
• Basic knowledge Machine learning
• Autonomous level Imitation learning and diffusion models
• Autonomous level Robotics and control systems
• Autonomous level Linear algebra, matrices computations, numerical optimization
• Autonomous level Computer vision
• Basic knowledge Software engineering best practices, collaborative software design, continuous integration, automated testing
• Autonomous level