A deep learning framework for neuroscience

BA Richards, TP Lillicrap, P Beaudoin, Y Bengio… - Nature …, 2019 - nature.com
Abstract Systems neuroscience seeks explanations for how the brain implements a wide
variety of perceptual, cognitive and motor tasks. Conversely, artificial intelligence attempts to …

Recent advances of artificial intelligence in manufacturing industrial sectors: A review

SW Kim, JH Kong, SW Lee, S Lee - International Journal of Precision …, 2022 - Springer
The recent advances in artificial intelligence have already begun to penetrate our daily lives.
Even though the development is still in its infancy, it has been shown that it can outperform …

Learning the signatures of the human grasp using a scalable tactile glove

S Sundaram, P Kellnhofer, Y Li, JY Zhu, A Torralba… - Nature, 2019 - nature.com
Humans can feel, weigh and grasp diverse objects, and simultaneously infer their material
properties while applying the right amount of force—a challenging set of tasks for a modern …

A review of tactile information: Perception and action through touch

Q Li, O Kroemer, Z Su, FF Veiga… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Tactile sensing is a key sensor modality for robots interacting with their surroundings. These
sensors provide a rich and diverse set of data signals that contain detailed information …

Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks

MA Lee, Y Zhu, K Srinivasan, P Shah… - … on robotics and …, 2019 - ieeexplore.ieee.org
Contact-rich manipulation tasks in unstructured environments often require both haptic and
visual feedback. However, it is non-trivial to manually design a robot controller that …

A review of robot learning for manipulation: Challenges, representations, and algorithms

O Kroemer, S Niekum, G Konidaris - Journal of machine learning research, 2021 - jmlr.org
A key challenge in intelligent robotics is creating robots that are capable of directly
interacting with the world around them to achieve their goals. The last decade has seen …

[HTML][HTML] Tactile-sensing technologies: Trends, challenges and outlook in agri-food manipulation

W Mandil, V Rajendran, K Nazari… - Sensors, 2023 - mdpi.com
Tactile sensing plays a pivotal role in achieving precise physical manipulation tasks and
extracting vital physical features. This comprehensive review paper presents an in-depth …

Deep learning for time-series analysis

JCB Gamboa - arxiv preprint arxiv:1701.01887, 2017 - arxiv.org
In many real-world application, eg, speech recognition or sleep stage classification, data are
captured over the course of time, constituting a Time-Series. Time-Series often contain …

Robotic tactile perception of object properties: A review

S Luo, J Bimbo, R Dahiya, H Liu - Mechatronics, 2017 - Elsevier
Touch sensing can help robots understand their surrounding environment, and in particular
the objects they interact with. To this end, roboticists have, in the last few decades …

Making sense of vision and touch: Learning multimodal representations for contact-rich tasks

MA Lee, Y Zhu, P Zachares, M Tan… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Contact-rich manipulation tasks in unstructured environments often require both haptic and
visual feedback. It is nontrivial to manually design a robot controller that combines these …