no code implementations • 7 Jun 2022 • Yizhe Wu, Oiwi Parker Jones, Ingmar Posner
We present ObPose, an unsupervised object-centric inference and generation model which learns 3D-structured latent representations from RGB-D scenes.
no code implementations • 22 Mar 2021 • Chia-Man Hung, Li Sun, Yizhe Wu, Ioannis Havoutis, Ingmar Posner
To recover from high uncertainty cases, the robot monitors its uncertainty along a trajectory and explores possible actions in the state-action space to bring itself to a more certain state.
no code implementations • 30 Sep 2019 • Yizhe Wu, Sudhanshu Kasewa, Oliver Groth, Sasha Salter, Li Sun, Oiwi Parker Jones, Ingmar Posner
In this paper we explore the richness of information captured by the latent space of a vision-based generative model.
no code implementations • 25 Sep 2019 • Yizhe Wu, Sudhanshu Kasewa, Oliver Groth, Sasha Salter, Li Sun, Oiwi Parker Jones, Ingmar Posner
In this paper we investigate an artificial agent's ability to perform task-focused tool synthesis via imagination.