Robots in the Danger Zone: Exploring Public Perception through Engagement

no code implementations • 1 Apr 2020 • David A. Robb, Muneeb I. Ahmad, Carlo Tiseo, Simona Aracri, Alistair C. McConnell, Vincent Page, Christian Dondrup, Francisco J. Chiyah Garcia, Hai-Nguyen Nguyen, Èric Pairet, Paola Ardón Ramírez, Tushar Semwal, Hazel M. Taylor, Lindsay J. Wilson, David Lane, Helen Hastie, Katrin Lohan

We describe the use of a light touch quiz-format survey instrument to integrate in-the-wild research participation into the engagement, allowing us to probe both the effectiveness of our engagement strategy, and public perceptions of the future roles of robots and humans working in dangerous settings, such as in the off-shore energy sector.

A Distributed Epigenetic Shape Formation and Regeneration Algorithm for a Swarm of Robots

no code implementations • 29 Oct 2018 • Rahul Shivnarayan Mishra, Tushar Semwal, Shivashankar B. Nair

The algorithm works in a distributed manner using only local interactions and computations without any central control and aids the robots to form the shape in a triangular lattice structure.

Robotics Emerging Technologies

On an Immuno-inspired Distributed, Embodied Action-Evolution cum Selection Algorithm

no code implementations • 26 Jun 2018 • Tushar Semwal, Divya D Kulkarni, Shivashankar B. Nair

Traditional Evolutionary Robotics (ER) employs evolutionary techniques to search for a single monolithic controller which can aid a robot to learn a desired task.

A Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural Networks

1 code implementation • 19 Jan 2018 • Tushar Semwal, Gaurav Mathur, Promod Yenigalla, Shivashankar B. Nair

Transfer Learning (TL) plays a crucial role when a given dataset has insufficient labeled examples to train an accurate model.

General Classification text-classification +2