Master Thesis - Teleoperation & Data Generation for Humanoids

About the Role

Binabik AI is opening a position for a talented Master's student to conduct their thesis in the field of Humanoid Robotics. You will join our Engineering team to solve one of the most critical challenges in modern robotics: bridging the gap between human intent and robot execution through high-quality data.

The Project

The goal of this thesis is to build a robust pipeline for the teleoperation of a humanoid robot. You will not only control the robot but also architect a system to record, process, and enhance the data generated during these sessions to train future AI models.

Responsibilities

• Teleoperation Setup: Implement and optimize a teleoperation system for a humanoid robot platform (e.g., Unitree).
• Data Pipeline: Design a system to store high-frequency sensor and control data efficiently.
• Data Processing: Develop algorithms to filter noise and validate the quality of recorded demonstrations.
• Augmentation: Implement data augmentation techniques to expand the dataset for robust imitation learning.
• Integration: Collaborate with our Senior Engineers to test the pipeline on physical hardware.

Requirements

• Academic Status: Currently enrolled in a Master’s program in Robotics, Computer Science, Mechanical Engineering, or a related field.
• Technical Mindset: A strong understanding of kinematics and control theory.
• Coding: Proficiency in Python is a strong plus; familiarity with C++ is beneficial.
• Bonus Points: Experience with Whole Body Controllers (WBC), NVIDIA GR00T, or Unitree Teleoperation SDKs is an advantage but not required.

What We Offer

• Access to state-of-the-art humanoid hardware.
• Mentorship from industry experts in AI and Robotics.
• The opportunity to turn your thesis into a full-time position upon graduation.

How to Apply

Please send your CV, current transcript, and a brief cover letter (in English) outlining your interest in humanoid robotics to hello@binabik.ai.