2022
Multi-Task Learning with Sequence-Conditioned Transporter Networks
ICRA 2022poster
Enabling robots to solve multiple manipulation tasks has a wide range of industrial applications. While learning-based approaches enjoy flexibility and generalizability, scaling these approaches to solve such compositional tasks remains a challenge. In this work, we aim to solve multi-task learning…