A survey on deep reinforcement learning algorithms for robotic manipulation
Robotic manipulation challenges, such as gras** and object manipulation, have been
tackled successfully with the help of deep reinforcement learning systems. We give an …
tackled successfully with the help of deep reinforcement learning systems. We give an …
Skyeye: Self-supervised bird's-eye-view semantic map** using monocular frontal view images
Abstract Bird's-Eye-View (BEV) semantic maps have become an essential component of
automated driving pipelines due to the rich representation they provide for decision-making …
automated driving pipelines due to the rich representation they provide for decision-making …
MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery
P Zhou, Y Yang - European Conference on Computer Vision, 2024 - Springer
We aim to discover manipulation concepts embedded in the unannotated demonstrations,
which are recognized as key physical states. The discovered concepts can facilitate training …
which are recognized as key physical states. The discovered concepts can facilitate training …
InfoCon: Concept Discovery with Generative and Discriminative Informativeness
We focus on the self-supervised discovery of manipulation concepts that can be adapted
and reassembled to address various robotic tasks. We propose that the decision to …
and reassembled to address various robotic tasks. We propose that the decision to …
Robotio: A python library for robot manipulation experiments
Setting up robot environments to quickly test newly developed algorithms is still a difficult
and time consuming process. This presents a significant hurdle to researchers interested in …
and time consuming process. This presents a significant hurdle to researchers interested in …