Evolver Robot Unveils First Action-Driven World Model (Open-Sourced)
Agibot Robotics unveils EVAC, the 1st action-driven embodied world model & EWMBench benchmark, open-sourced to accelerate AI research.
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Recently, Agibot Robotics announced a dual milestone breakthrough in the field of embodied intelligence: the world’s first robot action sequence-driven embodied world model, EVAC (EnerVerse-AC), and the EWMBench, a benchmark for evaluating embodied world models.
These two innovative achievements have been fully open-sourced, aiming to establish a new development paradigm of “low-cost simulation, standardized evaluation, and efficient iteration,” continuously empowering global embodied intelligence research and accelerating technology adoption and industrial development.
Currently, the evolution of embodied intelligence faces two key constraints: during testing, real-robot validation is costly and risky, while simulation systems are limited by the gap between virtual and real environments; on the data front, the lack of efficient mechanisms for utilizing massive real-robot data based on trajectory augmentation restricts diversity generation and generalization training.
To address these challenges, Agibot Robotics has built upon last year’s EnerVerse world model architecture to introduce two groundbreaking innovations: the action sequence-driven world model EVAC and the EWMBench evaluation benchmark. These create a complete technical closed loop from training to evaluation, redefining the development paradigm for embodied world models.