2023
Adversarial Object Rearrangement in Constrained Environments with Heterogeneous Graph Neural Networks
IROS 2023poster
Adversarial object rearrangement in the real world (e.g., previously unseen or oversized items in kitchens and stores) could benefit from understanding task scenes, which inherently entail heterogeneous components such as current objects, goal objects, and environmental constraints. The semantic rel…