ASPIRE: A Continuous Learning System for Robotics by Zhu Yuke, Jim Fan and NVIDIA
The new paper ASPIRE introduces a continuous learning system for embodied AI, where agents debug robot failures using execution traces, evolve solutions, and build reusable skill libraries.
