Observatory for Human-Machine Collaboration (OHMC)
The Observatory for Human-Machine Collaboration (OHMC) is a robotics lab dedicated to supporting research groups working on collaborative robotics projects.
OHMC Research projects
Agri-station for automation and growth optimization
The agri-station also provides an environment to study collaborative dynamics between machines and human operators.
Optical monitoring of brain function in healthy adults
This project will use the OHMC to design and develop cognitive protocols, and test them on a cohort of subjects.
Eye tracking for 3D holographic displays
The main aim of our research is to use the eye tracker to track a user in a 3D volume.
Personalized Emotional caRe uSing human-rObot iNterAction
Findings from this work provide detailed insights into the emotional wellbeing of children by encouraging natural behaviour patterns
Mixed Reality System for Human-Machine Interactions
The study deepens understanding of human subjective experience when interacting with robots and allow us to optimise human satisfaction/performance
Human subjectivity-based metrics for robot handover task
The research aims to develop novel metrices assessing subjective experience during human-robot.
Handsfree gesture and vision control for remote operations
The project involves the remote use of drone technology in a computer-generated holography.
Automated Crop Growth Tracking
The OHMC facility is used to expand the current research on urban hydroponic farms.
Towards an artificial feedback of wearable devices
Project combines synergic approach across product design, neuroscience, robotics and bioelectronics, to advance issues for human-machine collaboration
Wearable multi-sensing system for lower limb exoskeletons
The project is highly interdisciplinary and focuses on realizing an effective interaction between users and exoskeletons.
Human-Robot Collaborative Food Manipulation
This project will establish the collaborative developmental framework of robot platforms for agri-food industry automation.
Microfluidics Screening of Microbes in Bioreactors
The proposed project helps next-generation bioreactors to run more efficiently with direct feedback on microbial states.
