Robotics

Robotics brings AI into physical environments where movement, timing, and reliability matter. This category covers embodied AI, robot learning, navigation, manipulation, and control across machines built for homes, workplaces, and industrial settings. We examine how robots use sensors, interpret their surroundings, plan actions, and recover when conditions change. Coverage asks what a demonstration establishes, how much human assistance it requires, and which tasks remain difficult outside a controlled setting. Advances in AI research help explain progress in simulation, imitation learning, and the transfer of learned skills to physical hardware. Connections with AI agents that plan and execute tasks add context to questions about autonomy and oversight. Real world deployment also depends on safety, maintenance, energy use, cost, and the ability to operate around people. Readers can use this coverage to judge what a robot can do today and what evidence is still needed before a promising capability becomes dependable.