Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User Study

1 code implementation • 30 Jun 2022 • Ameya Pore, Martina Finocchiaro, Diego Dall'Alba, Albert Hernansanz, Gastone Ciuti, Alberto Arezzo, Arianna Menciassi, Alicia Casals, Paolo Fiorini

Flexible endoscopes for colonoscopy present several limitations due to their inherent complexity, resulting in patient discomfort and lack of intuitiveness for clinicians.

Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations

1 code implementation • 3 Nov 2020 • Nikos Pitsillos, Ameya Pore, Bjorn Sand Jensen, Gerardo Aragon-Camarasa

We present an introspective framework inspired by the process of how humans perform introspection.

On Simple Reactive Neural Networks for Behaviour-Based Reinforcement Learning

1 code implementation • 22 Jan 2020 • Ameya Pore, Gerardo Aragon-Camarasa

The latter represents an extra degree-of-freedom of which current end-to-end reinforcement learning fail to generalise.

reinforcement-learning Reinforcement Learning (RL)