Search Results for author:
Found 7 papers, 2 papers with code
Robustness of Utilizing Feedback in Embodied Visual Navigation
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.
BOSS: A Benchmark for Human Belief Prediction in Object-context Scenarios
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.
Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation
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.
ABCDE: An Agent-Based Cognitive Development Environment
How can the most common 1, 000 concepts (89\% of everyday use) be learnt in a naturalistic children's setting?
PIP: Physical Interaction Prediction via Mental Simulation with Span Selection
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
A Survey of Embodied AI: From Simulators to Research Tasks
This paper aims to provide an encyclopedic survey for the field of embodied AI, from its simulators to its research.
Actionet: An Interactive End-To-End Platform For Task-Based Data Collection And Augmentation In 3D Environment
The problem of task planning for artificial agents remains largely unsolved.
