Karan-singh1/InternHumanoid

InternHumanoid appears to be a personal research project or an internship-derived codebase (likely associated with the 'Intern' series of projects from Shanghai AI Lab, though hosted on a personal account). With only 15 stars and zero forks after nearly nine months, it lacks the community traction required for a defensive moat. The project implements standard robotics patterns like whole-body control (WBC) and split-strategy tracking, which are already well-served by established, industry-standard frameworks like Drake (TRI), Pinocchio (Stack of Tasks), or OCS2 (ETH Zurich). In the current robotics climate, frontier labs (DeepMind, OpenAI) and well-funded startups (Figure, Tesla, 1X) are developing highly proprietary, end-to-end RL stacks that make modular toolboxes like this less relevant for high-performance humanoid applications. The displacement risk is high because a user seeking these capabilities would more likely turn to a more mature, better-documented ecosystem with active maintenance.