A Study on Domain Generalization for Failure Detection through Human Reactions in HRI
MT Parreira, SG Lingaraju… - arxiv preprint arxiv …, 2024 - arxiv.org
Machine learning models are commonly tested in-distribution (same dataset); performance
almost always drops in out-of-distribution settings. For HRI research, the goal is often to …
almost always drops in out-of-distribution settings. For HRI research, the goal is often to …
Bringing online egocentric action recognition into the wild
To enable a safe and effective human-robot cooperation, it is crucial to develop models for
the identification of human activities. Egocentric vision seems to be a viable solution to solve …
the identification of human activities. Egocentric vision seems to be a viable solution to solve …
EgoPAT3Dv2: Predicting 3D Action Target from 2D Egocentric Vision for Human-Robot Interaction
A robot's ability to anticipate the 3D action target location of a hand's movement from
egocentric videos can greatly improve safety and efficiency in human-robot interaction (HRI) …
egocentric videos can greatly improve safety and efficiency in human-robot interaction (HRI) …
Prototype-aware Feature Selection for Multi-view Action Prediction in Human-Robot Collaboration
Semantic representation of actions is essential for the development of mutual cognition
towards efficient human-robot collaboration. As such, it has become an exciting emerging …
towards efficient human-robot collaboration. As such, it has become an exciting emerging …