Warmth and Competence to Predict Human Preference of Robot Behavior in Physical Human-Robot Interaction

no code implementations • 13 Aug 2020 • Marcus M. Scheunemann, Raymond H. Cuijpers, Christoph Salge

We found that Warmth and Competence, among all RoSAS and Godspeed dimensions, are the most important predictors for human preferences between different robot behaviors.

Attribute

Human Perception of Intrinsically Motivated Autonomy in Human-Robot Interaction

no code implementations • 14 Feb 2020 • Marcus M. Scheunemann, Christoph Salge, Daniel Polani, Kerstin Dautenhahn

A challenge in using robots in human-inhabited environments is to design behavior that is engaging, yet robust to the perturbations induced by human interaction.

Bold Hearts Team Description for RoboCup 2019 (Humanoid Kid Size League)

no code implementations • 22 Apr 2019 • Marcus M. Scheunemann, Sander G. van Dijk, Rebecca Miko, Daniel Barry, George M. Evans, Alessandra Rossi, Daniel Polani

We participated in the RoboCup 2018 competition in Montreal with our newly developed BoldBot based on the Darwin-OP and mostly self-printed custom parts.

Semantic Segmentation

Deep Learning for Semantic Segmentation on Minimal Hardware

no code implementations • 15 Jul 2018 • Sander G. van Dijk, Marcus M. Scheunemann

Deep learning has revolutionised many fields, but it is still challenging to transfer its success to small mobile robots with minimal hardware.

Semantic Segmentation