no code implementations • 6 Mar 2023 • Jenny Zhang, Samson Yu, Jiafei Duan, Cheston Tan
This paper presents a framework for training an agent to actively request help in object-goal navigation tasks, with feedback indicating the location of the target object in its field of view.
no code implementations • 21 Jun 2022 • Jiafei Duan, Samson Yu, Nicholas Tan, Li Yi, Cheston Tan
Humans with an average level of social cognition can infer the beliefs of others based solely on the nonverbal communication signals (e. g. gaze, gesture, pose and contextual information) exhibited during social interactions.
1 code implementation • 20 Jun 2022 • Jenny Zhang, Samson Yu, Jiafei Duan, Cheston Tan
In reality, it is often more efficient to ask for help than to search the entire space to find an object with an unknown location.
no code implementations • 10 Jun 2022 • Jieyi Ye, Jiafei Duan, Samson Yu, Bihan Wen, Cheston Tan
How can the most common 1, 000 concepts (89\% of everyday use) be learnt in a naturalistic children's setting?
no code implementations • 10 Sep 2021 • Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan
However, there is a lack of intuitive physics models that are tested on long physical interaction sequences with multiple interactions among different objects.
Ranked #1 on Semantic Object Interaction Classification on SPACE
no code implementations • 8 Mar 2021 • Jiafei Duan, Samson Yu, Hui Li Tan, Hongyuan Zhu, Cheston Tan
This paper aims to provide an encyclopedic survey for the field of embodied AI, from its simulators to its research.
1 code implementation • 3 Oct 2020 • Jiafei Duan, Samson Yu, Hui Li Tan, Cheston Tan
The problem of task planning for artificial agents remains largely unsolved.