Léo Morillon, who writes about the emerging robotics stack, described a robot brain being divided by latency: “Rent the plan, not the reflex.” The premise is straightforward. Some parts of a robot’s intelligence can move to the cloud. Others physically cannot.
SpatioTemporal was named runner-up in Propel-AIR 2.0, Australia’s AI and robotics commercialisation program led by ARM Hub and designed to help Australian technology companies build pathways into international markets.
Trust, selective cognition and the reflexive intelligence robots need around humans
Robots can already see, navigate and plan. So why aren’t they everywhere?
Introducing World State Vectors for Physical AI.
SpatioTemporal founder Andrew Ballard recently joined Andrew Lai and Amir Nissen from SMEC AI for a conversation about Motion Intelligence, foundation models and a different approach to building AI for the physical world.
SpatioTemporal founder Andrew Ballard has been interviewed by The Data Wire for a feature exploring a growing challenge for Physical AI: how to extract the signals that matter without carrying the enormous computational burden of continuous video.
Melbourne’s inaugural Physical AI Meetup brought together researchers, engineers, founders, operators and technologists at Natural Velocity in Docklands for an evening focused on what comes after the current generation of AI.
A controlled experiment using NVIDIA Cosmos suggests that explicit behavioural state can materially change how a robot acts around people. In a controlled crossing experiment using NVIDIA Cosmos-Reason2-8B, the proportion of encounters entering a defined collision envelope fell from 24% to 2% when Motion Intelligence-derived behavioural information was available to the planner.
Humans are remarkably good at not walking into each other. We rarely think about it, but every busy footpath, station and pedestrian crossing is a continuous exercise in prediction.