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описание
Complete the challenge below and submit your solution as a public GitHub repository — include a README with instructions to run your system, example outputs, and a short note on your design choices. The strongest submissions are creative, original, and push beyond the obvious. Intern Challenge: What Changed in the Room? Build a system that compares two phone recordings of the same small indoor area, such as a room, and identifies meaningful changes in 3D: moved furniture, new obstacles, or removed objects. At a minimum, your system should: Generate a shared 3D representation of the scene from the two recordings; Identify and visualize objects or regions that were moved, added, or removed in 3D; Describe the detected changes using semantic labels or natural language. What to submit: A working codebase; Clear instructions on how to run your system; Example input(s) and output(s).
Humanoid builds commercially scalable, safe humanoid robots, including the HMND-01 platform deployed in real industrial environments. The company develops software systems that enable robots to operate effectively in the real world.
задачи
Develop perception systems for robot navigation and interaction in real-world environments
Work on focused problems within Vision-Language(-Action) or multimodal models, including components, datasets, and evaluation
Run and analyze experiments using existing pipelines
Improve data quality through curation and labeling
Explore scene understanding, 3D perception, or navigation methods and apply them to real systems
Prototype ideas and iterate quickly with guidance
Collaborate on integrating models into robotic platforms
требования
Pursuing a degree in Computer Science, Machine Learning, Robotics, or a related field
Strong foundations in machine learning and/or computer vision
Hands-on experience with PyTorch and training ML models
Experience running experiments and interpreting results
Interest in multimodal models, 3D vision, spatial reasoning, navigation, or embodied AI
Ability to take ownership and iterate with guidance
Strong problem-solving skills and attention to detail
Fast learner, comfortable in a research-driven, fast-moving environment
условия
12-Week internship over the winter, starting in November
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