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Related Experiment Video

Updated: Jul 13, 2026

Building An Open-source Robotic Stereotaxic Instrument

Building An Open-source Robotic Stereotaxic Instrument

Published on: October 29, 2013

BEATRIX: An open source humanoid head platform for robotics teaching and research.

Gorkem Anil Al^1,2, Nicholas Hedworth^1,2, Douglas Tilley^1,2

¹Multimodal Interaction and Robot Active Perception (inte-R-action) Lab, University of Bath, Bath, UK.

|October 24, 2024

Summary

This paper presents BEATRIX, a novel robotic head for university robotics education. This platform enhances practical learning in human-robot interaction through hands-on projects and accessible design resources.

Keywords:

Education Humanoids Human–robot interaction Open hardware Robot head Sensors

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Area of Science:

Robotics
Human-Robot Interaction
Mechatronics Education

Background:

Universities face challenges in bridging theoretical robotics knowledge with practical student experience.
Existing educational robotic platforms may lack the integrated sensory capabilities and flexibility required for advanced human-robot interaction (HRI) research.
There is a need for accessible, replicable robotic systems that facilitate hands-on learning in complex robotics domains.

Purpose of the Study:

To introduce BEATRIX, a novel, cost-effective robotic head designed for university-level robotics education.
To provide a practical platform for students to engage with human-robot interaction (HRI) concepts.
To facilitate the development and implementation of algorithms for visual and auditory perception and robot control.

Main Methods:

Design and construction of the BEATRIX robotic head, featuring a neck-like mechanism with three stepper motors.
Integration of two cameras and two microphones for multimodal sensory data acquisition.
Development of an open-access framework, including component lists, assembly instructions, and software/CAD files, to ensure replicability.
Utilizing an external computer for algorithm design and implementation in HRI tasks.

Main Results:

Successful implementation of various tasks by undergraduate and master students, including face and sound detection/tracking, robot control, and GUI development.
Demonstrated effectiveness of the BEATRIX platform in enhancing student engagement and learning outcomes in robotics.
The open-access nature of the design facilitates widespread adoption and further research.

Conclusions:

BEATRIX offers a valuable educational tool for universities, effectively bridging the gap between robotics theory and practice.
The platform's integrated sensors and flexible architecture support diverse HRI experiments and algorithm development.
The availability of design and software resources promotes replication and innovation in robotics education.