[HTML][HTML] Human gaze assisted artificial intelligence: A review
Human gaze reveals a wealth of information about internal cognitive state. Thus, gaze-
related research has significantly increased in computer vision, natural language …
related research has significantly increased in computer vision, natural language …
[HTML][HTML] Depth-aware gaze-following via auxiliary networks for robotics
T Jin, Q Yu, S Zhu, Z Lin, J Ren, Y Zhou… - … Applications of Artificial …, 2022 - Elsevier
Gaze-Following aims to predict the gaze target of a subject within an image, and information
on orientation and depth greatly improves this task. However, previous methods require …
on orientation and depth greatly improves this task. However, previous methods require …
Human gaze following for human-robot interaction
Gaze provides subtle informative cues to aid fluent interactions among people. Incorporating
human gaze predictions can signify how engaged a person is while interacting with a robot …
human gaze predictions can signify how engaged a person is while interacting with a robot …
A survey of motion and task planning techniques for unmanned multicopter systems
Unmanned aerial systems provide many applications with the ability to perform flying tasks
autonomously, and hence have received significant research and commercial attention in …
autonomously, and hence have received significant research and commercial attention in …
Understanding teacher gaze patterns for robot learning
Human gaze is known to be a strong indicator of underlying human intentions and goals
during manipulation tasks. This work studies gaze patterns of human teachers …
during manipulation tasks. This work studies gaze patterns of human teachers …
The ORCA hub: Explainable offshore robotics through intelligent interfaces
We present the UK Robotics and Artificial Intelligence Hub for Offshore Robotics for
Certification of Assets (ORCA Hub), a 3.5 year EPSRC funded, multi-site project. The ORCA …
Certification of Assets (ORCA Hub), a 3.5 year EPSRC funded, multi-site project. The ORCA …
Interpretable latent spaces for learning from demonstration
Y Hristov, A Lascarides… - Conference on Robot …, 2018 - proceedings.mlr.press
Effective human-robot interaction, such as in robot learning from human demonstration,
requires the learning agent to be able to ground abstract concepts (such as those contained …
requires the learning agent to be able to ground abstract concepts (such as those contained …
From explanation to synthesis: Compositional program induction for learning from demonstration
Hybrid systems are a compact and natural mechanism with which to address problems in
robotics. This work introduces an approach to learning hybrid systems from demonstrations …
robotics. This work introduces an approach to learning hybrid systems from demonstrations …
[PDF][PDF] Efficiently guiding imitation learning algorithms with human gaze
When learning from demonstrations, Atari game playing has been attempted with various
imitation learning approaches. Behavioral cloning (BC)[3, 10, 34] is a class of imitation …
imitation learning approaches. Behavioral cloning (BC)[3, 10, 34] is a class of imitation …
Statistical data cleaning for deep learning of automation tasks from demonstrations
Automation using deep learning from demonstrations requires many training examples.
Gathering this data is time consuming and expensive, and human demonstrators are prone …
Gathering this data is time consuming and expensive, and human demonstrators are prone …