Tag
Physical AI
What changes as AI enters robotics, mobility, industry and physical environments.
12essays
01Can a Drone Team Keep Working When Communications Fail?A multi-drone mission needs more than parallel flight. Task ownership, stale shared state, collision risk and recovery determine which work can continue when links degrade.Oct 20, 20266 min read02When Does a Drone Complete an Autonomous Mission?A programmed flight is only the beginning. A single-drone bridge inspection needs evidence of coverage, usable images, anomaly review and a credible recovery path.Oct 16, 20266 min read03Autonomous Machines in Public Life: Who Gains, Who Pays?A machine's purchase price does not capture its public costs. M.K. examines shared space, maintenance, withdrawal and the chain of responsibility behind autonomous services.Oct 14, 20265 min read04Will Robotaxis Reduce Traffic? Follow the Empty MilesA driverless car may improve dispatch without freeing road space. Ride-hail evidence, empty mileage, occupancy and transit substitution show what cities need to measure.Oct 13, 20266 min read05When Do Humanoid Robots Make Sense?A human-shaped robot can fit spaces and tools built for people. Whether that benefit justifies two-legged mobility and complex manipulation depends on the task and its alternatives.Oct 2, 20267 min read06Why Household Robots Still Haven't Taken OffHousehold robots will not become ordinary because one machine can fold a shirt in a demo. They need to save more time than they add in supervision, recovery, maintenance, privacy and safety burden.Sep 29, 202612 min read07Why Robotics Is Hard: The Real World Has No API ContractRobotics is difficult not simply because models need to improve, but because perception errors, contact physics, latency, mechanical wear and human behaviour accumulate into uncertainty that the system must manage safely.Sep 6, 202612 min read08When Devices Become AI-Powered, Product Management Becomes Lifecycle ManagementAI-powered devices force product teams to manage hardware and model dependencies, capability limits, power budgets, OTA failure paths, data flows, cybersecurity and end-of-life support.Sep 3, 202614 min read09AI Cameras Need to Understand Events, Not Just Detect ObjectsThe next AI camera advantage is not simply detecting more objects. It is turning continuous video into a small number of trustworthy events through tracking, rules, edge filtering, VLM review and interoperable metadata.Aug 28, 202614 min read10Why Edge AI Matters Again: The Real Shift Is Where Inference RunsEdge AI is not replacing cloud AI. As AI moves into devices, cameras, robots and long-running agents, latency, connectivity, privacy, power and cost turn inference placement into a product architecture decision.Aug 22, 202613 min read11When Computer Vision Starts Understanding Events, Not Just ObjectsComputer vision is moving beyond object detection toward streaming video, event understanding and distributed edge inference. The harder question is who defines what counts as an event and what the system is allowed to do next.Aug 19, 202612 min read12What Is Physical AI? Why the Next Wave of AI Will Leave the ScreenGenerative AI transformed how we create and process information. Physical AI goes further: machines begin to perceive, reason and act in the real world, where latency, safety, hardware and failure suddenly matter much more.Aug 15, 202610 min read
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