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Active tactile exploration - How specific morphologies and mechanosensory structures lead to functionally useful sensing in both biology and artificial systems

Project description

From fruit flies to smart autonomous robotics

Navigating complex terrains is easy for animals but remains a significant challenge for modern robots. This difficulty exists because animal movement relies on ‘morphological intelligence’, the seamless integration of nervous systems with physical body structures. Supported by the Marie Skłodowska-Curie Actions programme, the TACTOR project will investigate how fruit flies use leg sensors and body shapes to navigate obstacles. By tracking 3D leg movements and using light to activate specific neurons, the project aims to uncover how biological systems coordinate real-time responses. Furthermore, it will record neural activity and develop artificial sensors to test how physical design enhances touch. TACTOR’s goal is to stimulate the development of next-generation bio-inspired sensors, enabling advances in the fields of autonomous robotics and smart prosthetics.

Objective

Navigating over complex and varying terrain is a fundamental challenge that animals tackle with ease, but even state-of-the-art robots struggle to achieve. Reverse-engineering animal sensorimotor control and active tactile sensing can provide crucial insights for designing autonomous robots and smart prosthetics. Unraveling these mechanisms is challenging because neural processing via mechanosensors and body structures (known as morphological intelligence) are tightly coupled. This project will study how animals gather information about the environment through touch, using Drosophila. In particular, it will uncover how leg mechanosensors and leg morphologies work together to enable robust tactile exploration. First, I will identify which leg mechanosensors and segments enable flies to detect and navigate obstacles. By quantifying 3D limb kinematics during obstacle encounters and using optogenetic activation of specific mechanosensory neurons, I will reveal how individual sensors and leg mechanics drive real-time obstacle detection and avoidance. Second, I will elucidate how mechanical interactions are encoded in neuronal activity. By recording population activity of mechanosensory neurons using two-photon calcium imaging during controlled mechanical stimulation, I will uncover how the spatial arrangement and co-activation of leg bristles encode tactile information. Finally, to evaluate how mechanosensor morphologies and arrangement enhance tactile sensing, I will fabricate artificial mechanosensors to systematically compare configurations and reveal how sensor geometry and alignment improve spatial and directional encoding. This project will pioneer a new understanding of how morphological intelligence contributes to environmental sensing and navigation. It will advance our knowledge of sensory encoding in animals and inform the design of bioinspired tactile sensors that go beyond the state of the art in robotics.

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Topic(s)

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 307 958,88
Address
BATIMENT CE 3316 STATION 1
1015 LAUSANNE
Switzerland

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Region
Schweiz/Suisse/Svizzera Région lémanique Vaud
Activity type
Higher or Secondary Education Establishments
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Total cost

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