Why Physical Intelligence Is Harder Than It Looks
Robotic intelligence must connect perception, action and uncertainty in a world where objects vary, sensors are incomplete and every movement changes what happens next.
A publication by Sami Mechkor
Robotics
Physical intelligence must work safely in an uncertain world.
Browse articlesRobots act in environments that are less orderly than software interfaces. This publication explores perception, control, predictable behaviour and the design of machines that can assist people while failing safely when the physical world defeats an assumption.
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Robots Must Earn Trust Through Predictable Behaviour
People can work safely with robots when machine behaviour is legible, consistent and designed to communicate uncertainty before a situation becomes dangerous.
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Designing Human-Robot Collaboration Around Clear Roles
Effective human-robot collaboration begins with explicit roles, understandable handoffs and work designed around the different strengths of people and machines.
Graceful Failure Matters in Robotics
A well-designed robot does not merely avoid known errors; it detects deteriorating conditions, limits harm and leaves people a practical route to recovery.
Useful Robots Begin With Constrained Environments
Constrained environments let robotic systems deliver practical value while teams gather evidence, understand exceptions and expand capability responsibly.
About this publication
Robotics by Sami Mechkor examines intelligent machines through the realities of human environments. Its focus is dependable behaviour, constrained use, clear roles and collaboration that preserves meaningful human control.