Luca Patané

TL;DR: The whole control strategy is hybrid in the sense that the gait generation is accomplished by a fully analog CNN, while a simple logic unit modulates the behavior of the CNN-based CPG, so that the strategy is suitable to eventually include sensory feedback.

TL;DR: The biologically plausible paradigm of spike-timing-dependent plasticity (STDP) is included in the network to make the system able to learn high-level responses that guide navigation through a simple unstructured environment.

TL;DR: The walking robot HECTOR is introduced as a research platform for integrative biomimetics of hexapedal locomotion and offers many opportunities to integrate research effort across biomimetic research on actuation, sensory-motor feedback, inter-leg coordination, and cognitive abilities such as motion planning and learning of its own body size.

TL;DR: A novel bio-inspired neural architecture is presented, which represents a generalized insect MB with the basic features taken from fruit fly neuroanatomy, and is envisaged to be a suitable basis for an immediate implementation within an robot control architecture.

TL;DR: A new reactive layer for multi-sensory integration applied to robot navigation that exploits the use of a chaotic system able to be controlled in real-time towards less complex orbits, like periodic orbits or equilibrium points, considered as perceptive orbits.