A Two-stage Fine-tuning Strategy for Generalizable Manipulation Skill of Embodied AI

Understand

The advent of Chat-GPT has led to a surge of interest in Embodied AI.

• However, many existing Embodied AI models heavily rely on massive interactions with training environments, which may not be practical in real-world situations.
• To this end, the Maniskill2 has introduced a full-physics simulation benchmark for manipulating various 3D objects.
• This benchmark enables agents to be trained using diverse datasets of demonstrations and evaluates their ability to generalize to unseen scenarios in testing environments.