Episode 1. ModalityNet: The Art of Modalities in Human-Centric Data
Compared to conventional AI systems, embodied intelligence necessitates a considerably richer and more diverse set of data modalities…
TECH-BLOG
Noitom Robotics and Hong Kong University Partner to Forge a New Data Ecosystem for Embodied AI
The signing ceremony and the unveiling of the new Joint Laboratory were attended by key figures from both the academic and industrial sectors.
Fixing the human side for Robot solutions
Robots aren’t a silver bullet for labor shortages. The real answer is hybrid systems: humans and machines working together, supported by teleoperation, data pipelines, and trust.
Why Robots Need Social Context to Belong in Our World
Rules aren’t enough. For robots to truly integrate into human environments, they need to learn social context—manners, timing, and cultural cues. This article explores why embodied AI must capture not only motion and data, but also the unwritten rules that guide human interaction.
The Call Center Reality of Robotics & Embodied AI
Like self-driving cars, robotics and embodied AI still rely on hidden call centers and human teleoperators. Learn why hybrid human-AI is the real future.
Multi-Modal Data: The Missing Ingredient for General-Purpose Robotics
Discover why multi-modal data is the missing link in general-purpose robotics. Learn how Noitom Robotics is building transferable, embodied AI skills.
Purpose-Built Humanoid Data Collection Platform for Embodied AI
Discover Adam-U, a purpose-built humanoid platform at WAIC 2025, designed to revolutionize embodied AI data collection with high-fidelity motion and tactile sensing.
