The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...
To match the lip movements with speech, they designed a "learning pipeline" to collect visual data from lip movements. An AI model uses this data for training, then generates reference points for ...
If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation ...
Overview Python remains one of the most widely used languages in robotics, thanks to its readability, extensive libraries, ...
Abstract: This paper presents GD-Prox, a Haptic-Glove Dual-Proxy framework for remote dexterous robot hand telemanipulation. The proposed method extends the Dual-Proxy approach to glove-hand systems, ...
A comprehensive Python framework designed for exploring the loss landscapes of deep learning models.
Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...
Abstract: Learning from demonstration (LfD) can be used to increase the behavioural repertoire of a robot, but most demonstration-based learning techniques do not enable a robot to acquire knowledge ...
Boston Dynamics says Atlas’s humanoid design lets it work in existing factories, handling tasks like sequencing and kitting without redesigns.Boston Dynamics/YouTube Robotics player Boston Dynamics ...
Below is an example of a Python-defined pipeline that mirrors what most teams use in production — build, lint, test, coverage, and deploy — all orchestrated through pygha. --src-dir: Source directory ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback