AIMC Topic: Locomotion

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Self-reconfigurable robotic fish swarms: Collective achievement of diverse locomotion and challenging aquatic tasks.

Science advances
Conventional aquatic robots are typically constrained by fixed morphology and single-mode locomotion, limiting adaptability to unstructured environments. Inspired by the diverse fin-driven locomotion strategies of natural fish, we present a self-reco...

High-level locomotion intent estimation from electromyography and body posture.

Journal of neural engineering
Once we learn a reliable gait, we no longer have to consciously contract individual muscles to walk, or think about the fine-grained low-level control of our joints. Instead, we mainly make decisions on where we want to end up, at what pace and throu...

Jump, recharge, repeat: Insect-inspired jumping robots and the challenge of energy harvesting.

Science robotics
Jumping biorobots merge insect agility with energy harvesting, enabling new mobility and long-term autonomous operation.

Flagellar swimming at low Reynolds numbers: zoospore-inspired robotic swimmers with dual flagella for high-speed locomotion.

Bioinspiration & biomimetics
Traditional locomotion strategies fail in low-Reynolds-number fluid environments, where viscous forces dominate over inertial forces. Microorganisms have developed specialized structures such as cilia and flagella to overcome this challenge, enabling...

Rat robot autonomous border detection based on wearable sensors.

Bioinspiration & biomimetics
Bio-robots, a novel type of robot based on a brain-machine interface, have shown great potential in search and rescue tasks. Current research is focused on the bio-robot itself, such as locomotion, localization and navigation, but lacks interactions ...

Spinal interneuron population dynamics underlying flexible pattern generation.

Nature communications
The mammalian spinal locomotor network is composed of diverse populations of interneurons that collectively orchestrate and execute a range of locomotor behaviors. As the number of identified classes of spinal interneurons constituting the locomotor ...

High throughput machine learning pipeline to characterize larval zebrafish motor behavior.

PloS one
Using machine learning, we developed models that rigorously detect and classify larval zebrafish spontaneous and stimulus-evoked behaviors in various well plate formats. Zebrafish are an ideal model system for investigating the neural substrates unde...

Robust maneuverability in flipper-based systems across complex terrains.

Bioinspiration & biomimetics
Sea turtle hatchlings display maneuvering capabilities across diverse aquatic and coastal terrains. While turning behavior is crucial in aquatic environments, it is equally vital for terrestrial locomotion by hatchlings that must quickly navigate obs...

Exploring parameter optimisation in machine learning algorithms for locomotor task discrimination using wearable sensors.

Scientific reports
The accurate identification of locomotion states from wearable sensor data using machine learning relies heavily on carefully selecting algorithm parameters, which remains a challenging task. This study systematically optimised key parameters-includi...

A 3D model predicts behavior of a soft bodied worm robot performing peristaltic locomotion.

Bioinspiration & biomimetics
The passive compliance of a soft worm-like body can be a key advantage for traversal of complex confined spaces, but in practice, the body's stiffness and contact friction often require experimental adjustments. Here, for the first time, we develop a...