AI that senses the world it acts within.
Most AI systems are trained on language and images, but everyday life is made of light, sound, temperature, motion, and distance.
Sensor grounding connects these signals to perception and action, so behavior reflects the real environment rather than a digital proxy. Multimodal fusion yields situational awareness that text-only systems cannot achieve.
A tutoring robot should recognize when a room is too hot, too dark, or too loud for learning and adapt its choices: slow the pace, switch modes, or suggest a break.
Light and time cues shape energy and routine, and grounded systems can adjust tone and tempo across the day.
Stress and fatigue can be inferred from voice, movement, or physiology; handled responsibly, these cues support care and accommodation rather than manipulation.
Embodied systems must detect obstacles, maintain safe distances, and respond to nearby people.
Safety includes social boundaries, not only collision avoidance.
Can intelligence be general without embodiment? Grounding concepts in perception ties abstract reasoning to lived experience.
People are embodied; our needs are physical and social. Sensor-grounded AI can meet those needs in the environments where life actually happens.