Recursive Agents implements a three-phase iterative refinement architecture where LLM agents (instances of Classes) critique and improve their own outputs. Unlike single-pass systems, each agent ...
Abstract: We consider sampled-data Model Predictive Control (MPC) of nonlinear continuous-time control systems. We derive sufficient conditions to guarantee recursive feasibility and asymptotic ...
Abstract: Decentralized cooperative localization (DCL) is a promising method to determine accurate multirobot poses (i.e., positions and orientations) for robot teams operating in an environment ...
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Recursive Superintelligence aims to eliminate human intervention in the AI training process, creating a system that autonomously improves its own code and architecture. The round was led by GV (Google ...
Recursive Superintelligence, a four-month-old AI startup, has raised at least $500 million at a $4 billion pre-money valuation. GV (formerly Google Ventures) led the round, with Nvidia joining in, ...