Nino Cauli

TL;DR: This work presents the architecture of the first release of the Neurorobotics Platform, a new web-based environment offering scientists and technology developers a software infrastructure allowing them to connect brain models to detailed simulations of robot bodies and environments and to use the resulting neurorobotic systems for in silico experimentation.

TL;DR: This article aims to provide a general overview of robotic cleaning tasks based on different types of control methods using manipulator and suggest a description of the future directions of cleaning tasksbased on the evaluation of the control approaches.

TL;DR: This work maps the problem to model-driven engineering techniques and defines a domain-specific language (DSL) for integrating biologically plausible Neuronal Networks in robot control algorithms that provides different levels of abstraction and sets an interface standard for integration.

TL;DR: This approach takes the human completely out of the loop while performing complex cleaning tasks, and the network is able to identify the specific task to be performed directly from image data, thus also enabling automatic task selection from a set of previously demonstrated tasks.

TL;DR: This work presents an adaptive model based on a neuro-controller for visual pursuit that allows the robot to follow a moving target with no delay (zero phase lag) using a predictor of the target motion.