Reflect After Failure: Brain-Inspired Self-Evolving Agents for Embodied Spatial Intelligence
Vision-Language Models (VLMs) have made substantial progress in spatial reasoning, and self-evolving agents further extend these capabilities to embodied environments by learning from interactions. However, current self-evolution remains particularly challenging in embodied spatial tasks, complex and multi-step decisio...