An Interactive 3D Virtual Environment for Task-oriented Learning
Out goal is to enable better learning of autonomous agents for tasks with compositional goals and rich object state changes. To this end, we have designed VRKitchen, an interactive 3D virtual kitchen environment which provides a platform for training and evaluating various learning and planning algorithms in a variety of cooking tasks. With the help of virtual reality device, human users serve as teachers for the agents by providing demonstrations in the virtual environment.
VR Chef Challenge
We propose the VR chef challenge consisting of two sets of cooking tasks:
Tool Use: requires an agent to continuously control its hands to make use of a tool.
Preparing dishes: agents must perform a series of atomic actions in the right order to achieve a compositional goal.
18 object state changes
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning
Learning to infer human attention in daily activities
Presents a new video dataset collected on the VRKitchen platform, and proposes a deep neural network model that fuses both low-level human pose cue and high-level task encoding cue for inferring the task-driven inside-video human attention.
Nan, Z., Shu, T., Gong, R., Wang, S., Wei, P., Zhu, S. C., & Zheng, N. (2020).