
IntelliMan Project provides an AI-powered manipulation system that learns to manipulate objects efficiently with persistent learning. It uses a heterogeneous set of sensors to perceive surroundings, learns from human demonstrations, utilizes high-level planning, and makes autonomous task decisions while detecting failures to request new knowledge. Core technologies include AI, machine learning, perception, planning, and safety mechanisms to enable a robust manipulation workflow. The system targets robotics and manufacturing contexts, offering integration with existing robotic stacks and enterprise-scale deployments for labs and factories.

IntelliMan Project provides an AI-powered manipulation system that learns to manipulate objects efficiently with persistent learning. It uses a heterogeneous set of sensors to perceive surroundings, learns from human demonstrations, utilizes high-level planning, and makes autonomous task decisions while detecting failures to request new knowledge. Core technologies include AI, machine learning, perception, planning, and safety mechanisms to enable a robust manipulation workflow. The system targets robotics and manufacturing contexts, offering integration with existing robotic stacks and enterprise-scale deployments for labs and factories.