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We are looking for one passionate interns to join our cutting-edge robotics team and contribute to the future of dexterous manipulation with our humanoid robots, the Mirokaï. This internship will focus on enabling Mirokaï robots to perform advanced manipulation tasks in real-world environments. The project will involve learning from demonstration, teleoperation, data collection, and deep learning methods to allow the robots to autonomously interact with and manipulate objects. The scope may include grasping, bimanual manipulation, deformable object manipulation, object handling, and everyday manipulation tasks such as folding fabric, moving objects, or interacting with tools and articulated objects. You will collect datasets using teleoperation control of a Mirokaï robot, potentially through a VR-based interface, and implement learning-based methods to infer robot actions from visual, proprioceptive, and joint-state data. This project is inspired by the latest research in robotic manipulation and provides a unique opportunity to work at the forefront of embodied AI and humanoid robotics.
Job Responsibility
Operate the Mirokaï robots to collect datasets for dexterous manipulation tasks, including visual, proprioceptive, and joint-pose data
Design and implement learning-from-demonstration pipelines for robotic manipulation
Implement, test, and deploy deep learning models to enable Mirokaï robots to autonomously grasp, move, and manipulate objects
Explore manipulation strategies for rigid and deformable objects, potentially involving one or both arms
Evaluate learning performance on real-world manipulation tasks and refine models through iterative testing
Integrate your solutions into our robotics and AI stack
Requirements
Pursuing a degree in Robotics, Computer Science, Machine Learning, AI, or a related field
Strong proficiency in Python
Familiarity with deep learning frameworks such as PyTorch or TensorFlow
Experience or strong interest in robotics, robot learning, and deep learning
Interest in real-world robotic manipulation, learning from demonstration, and embodied AI
A passion for solving complex problems and building practical robotic capabilities
Strong communication skills and a team-oriented mindset
Nice to have
Proficiency in C++
Experience with humanoid robots, mobile manipulators, or robot manipulation tasks
Familiarity with robotic teleoperation, VR-based control, or imitation learning
Experience with computer vision, visuomotor policies, reinforcement learning, or diffusion-based policies
Interest in dexterous, bimanual, or deformable object manipulation