173 citations · 234 across the 12 of their papers we have counts for
6 papers · 1 filter
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning
Jinghuan Shang, Michael S. Ryoo
Humans learn to imitate by observing others. However, robot imitation learning generally requires expert demonstrations in the first-person view (FPV). Collecting such FPV videos f…
Visionary: Vision architecture discovery for robot learning
Iretiayo Akinola, Anelia Angelova, Yao Lu +5
We propose a vision-based architecture search algorithm for robot manipulation learning, which discovers interactions between low dimension action inputs and high dimensional visua…
Model-based Behavioral Cloning with Future Image Similarity Learning
Alan Wu, AJ Piergiovanni, Michael S. Ryoo
We present a visual imitation learning framework that enables learning of robot action policies solely based on expert samples without any robot trials. Robot exploration and on-po…
Learning Real-World Robot Policies by Dreaming
AJ Piergiovanni, Alan Wu, Michael S. Ryoo
Learning to control robots directly based on images is a primary challenge in robotics. However, many existing reinforcement learning approaches require iteratively obtaining milli…
Learning Social Affordance Grammar from Videos: Transferring Human Interactions to Human-Robot Interactions
Tianmin Shu, Xiaofeng Gao, Michael S. Ryoo +1
In this paper, we present a general framework for learning social affordance grammar as a spatiotemporal AND-OR graph (ST-AOG) from RGB-D videos of human interactions, and transfer…
Learning Social Affordance for Human-Robot Interaction
Tianmin Shu, M. S. Ryoo, Song-Chun Zhu
In this paper, we present an approach for robot learning of social affordance from human activity videos. We consider the problem in the context of human-robot interaction: Our app…