We have three applicants planning to apply for the RCN's Researcher Project for Young Talents. Each applicant has submitted a short introduction to their project. On Wednesday 1 March, we will have admin.corner as usual at 12:00. Afterwards, we will split into groups. Each group will get a presentation of the project by the applicant. Afterwards, there will be discussion and feedback from the group.
Please read the short descriptions below, and choose which group you want to join.
Agata Zelechowska
Project name: MENSMUS
Location: RITMO Kitchen
The MENSMUS project investigates the potential influence of the menstrual cycle on music perception and experience using a multidisciplinary, mixed methods approach. The main objectives are to a) bring awareness to the potential influence of menstrual cycle on perception and experience of music and other arts, b) learn about how women perceive and experience music across their menstrual cycle phases, c) develop useful research paradigms for studying music perception and experience in relation to the menstrual cycle.
Frank Veenstra
Project name: A-SOUP (Artificial Spatiotemporal Optimization through Understanding Phylogeny)
Location: RITMO meeting room v217
SOUP will investigate a bottom-up approach for optimizing the bodies and brains of robots. The goal is to discover useful building blocks of both morphological and controller components. Specifically, this project will investigate (1) how these components can be optimized for the automated design of robots, (2) how they can be optimized for plasticity, and (3) how the evolved components can be stored in a (phylogenetic) catalogue where they can be selected for evolving new robots in unique environments.
Ulysse Côte-Allard
Project name: INnovative Self-calibration for the Improvement of myoelectric-based Gestural control with Human-computer co-adaptive Training (INSIGHT)
Location: Meeting room N202
The project aims to improve the robustness of myoelectric-based control systems by developing novel training and recalibration methods that integrate biofeedback and self-supervised learning. The overarching objective is to decrease the reliance on active calibration by the user, move beyond conventional gesture recognition approaches, and adopt a goal-oriented control strategy. This goal-oriented control will be facilitated by a hybrid system that combines muscle-activity-based sensors with privacy-preserving environment-aware sensors to create an intuitive, robust, and efficient user experience. This system has the potential to revolutionize interactive technology in healthcare and consumer contexts.
Format
The applicant will do a 10-15 minute presentation addressing the following:
- Main research question(s)
- Relation to RITMO’s main research questions/topics
- Method(s) to be used
- Cooperation and involvement of other researchers in the center
- What resources are needed to carry out the project (people, infrastructure, equipment, other)
- Impact
The presentation will be followed by discussion and feedback from the group.