Show
Sort by
-
- Journal Article
- A1
- open access
Learning robots to grasp by demonstration
-
Learning to grasp arbitrary household objects from a single demonstration
-
- PhD Thesis
- open access
Distributed computing platforms for efficient execution of complex AI-tasks enabling industry 4.0
(2019) -
- Journal Article
- A1
- open access
Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things
-
Robot navigation using a variational dynamics model for state estimation and robust control
-
- Conference Paper
- C1
- open access
Learning to Grasp from a single demonstration
(2018) p.1-10 -
- Journal Article
- A1
- open access
DIANNE: a modular framework for designing, training and deploying deep neural networks on heterogeneous distributed infrastructure
-
Sensor fusion for robot control through deep reinforcement learning
-
- Journal Article
- A1
- open access
The cascading neural network : building the Internet of Smart Things
-
- Conference Paper
- C1
- open access
Lazy evaluation of convolutional filters
-
- Conference Paper
- C1
- open access
Multi-fidelity Matryoshka neural networks for constrained IoT devices
-
- Conference Paper
- C1
- open access
Exploring the potential of combining smart glasses and consumer-grade EEG/EMG headsets for controlling IoT appliances in the smart home
-
Dynamic auto-scaling and scheduling of deadline constrained service workloads on IaaS clouds
-
- Conference Paper
- P1
- open access
Middleware platform for distributed applications incorporating robots, sensors and the cloud
-
- Conference Paper
- C1
- open access
Distributed neural networks for Internet of Things: the Big-Little approach
-
- Conference Paper
- C1
- open access
DIANNE: Distributed artificial neural networks for the internet of things
-
- Conference Paper
- C1
- open access
Enabling component-based mobile cloud computing with the AIOLOS middleware
-
- Conference Paper
- C1
- open access
Vision: smart home control with head-mounted sensors for vision and brain activity