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Contributions of muscle mechanics and sensorimotor control to agile locomotion

Project description

Designing robot agility based on human locomotion

Navigating complex terrains is a challenge for robots, despite the ease with which humans and animals do it. This stark contrast is due to the sophisticated neuromusculoskeletal systems in living beings, which allow for rapid adaptation to unexpected obstacles. With the support of the Marie Skłodowska-Curie Actions programme, the AgileSim project is tackling this problem by investigating the interplay between muscle mechanics and sensory feedback in agile locomotion. By combining experimental data with physics-based simulations, AgileSim aims to uncover how these mechanisms work together to maintain stability. The project’s insights could lead to improved treatments for neurological disorders and inspire the design of more advanced legged robots and prosthetics.

Objective

Humans and animals navigate complex terrain seemingly effortless. This is in stark contrast with even the most performant robots, illustrating that walking over complex terrains is by no means trivial. Our neuromusculoskeletal system is equipped with mechanisms that allow us to recover from unexpected perturbations. Two key mechanisms are muscle intrinsic mechanics and sensory-driven feedback control. Immediate changes in muscle force upon a perturbation allow the body to respond fast to sudden perturbations through quick-acting muscle mechanical responses. Feedback responses, slower due to transmission delays, are also critical to stability as they are more flexible whereas muscle mechanical responses are determined by feedforward control and muscle properties. We do not yet know how these pathways interact to help us maintain agility and robustness, in the presence of external perturbations, or in the case of sensory loss. I aim to gain novel insights into how muscle mechanics and sensory feedback allow agile locomotion across conditions. I will unravel fundamental principles governing relative contributions of these mechanisms, using a blended experimental- and computational approach. I already collected a unique experimental dataset that I will combine with physics-based simulations. I will use novel approaches to predict locomotion patterns and feedforward and feedback control by optimizing performance criteria in presence of sensorimotor noise without relying on experimental data. Validation of simulation to experimental data allows us to evaluate which performance criteria and muscle properties drive observed interactions between muscle mechanics tuned by feedforward and feedback control. As many neurological disorders impair stable locomotion, fundamental insights obtained through my project have potential to inform treatments. Lastly, novel insights in locomotor neuromechanics inspires designs of legged robots and prosthetics to assist during locomotion.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

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

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Call for proposal

(opens in new window) HORIZON-MSCA-2023-PF-01

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Coordinator

KATHOLIEKE UNIVERSITEIT LEUVEN
Net EU contribution
€ 191 760,00
Address
OUDE MARKT 13
3000 Leuven
Belgium
Region
Vlaams Gewest Prov. Vlaams-Brabant Arr. Leuven
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data