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    Lets AI agents drive a live, persistent Isaac Sim session: load any articulated robot from a USD plus JSON config, set normalized joint targets and named poses, tune gains and couplings live, run joint range tests, and capture screenshots. It also launches and monitors detached Isaac Lab training runs, with Kit kept up between calls so each experiment costs a frame instead of a full relaunch.
    26
    MIT