AIMC Topic: Locomotion
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Wall-climbing performance of gecko-inspired robot with soft feet and digits enhanced by gravity compensation.
Bioinspiration & biomimetics
Jul 3, 2024
Gravitational forces can induce deviations in body posture from desired configurations in multi-legged arboreal robot locomotion with low leg stiffness, affecting the contact angle between the swing leg's end-effector and the climbing surface during ...
Identifying factors associated with locomotive syndrome using machine learning methods: The third survey of the research on osteoarthritis/osteoporosis against disability study.
Geriatrics & gerontology international
Jun 29, 2024
AIM: To identify factors associated with locomotive syndrome (LS) using medical questionnaire data and machine learning.
Comparison of water and terrestrial jumping in natural and robotic insects.
Annals of the New York Academy of Sciences
Jun 19, 2024
Jumping requires high actuation power for achieving high speed in a short time. Especially, organisms and robots at the insect scale jump in order to overcome size limits on the speed of locomotion. As small jumpers suffer from intrinsically small po...
Oscillating latent dynamics in robot systems during walking and reaching.
Scientific reports
May 19, 2024
Sensorimotor control of complex, dynamic systems such as humanoids or quadrupedal robots is notoriously difficult. While artificial systems traditionally employ hierarchical optimisation approaches or black-box policies, recent results in systems neu...
Design and control of jumping microrobots with torque reversal latches.
Bioinspiration & biomimetics
May 17, 2024
Jumping microrobots and insects power their impressive leaps through systems of springs and latches. Using springs and latches, rather than motors or muscles, as actuators to power jumps imposes new challenges on controlling the performance of the ju...
Nodes for modes: nodal honeycomb metamaterial enables a soft robot with multimodal locomotion.
Bioinspiration & biomimetics
May 7, 2024
Soft-bodied animals, such as worms and snakes, use many muscles in different ways to traverse unstructured environments and inspire tools for accessing confined spaces. They demonstrate versatility of locomotion which is essential for adaptation to c...
An Improved Extreme Learning Machine (ELM) Algorithm for Intent Recognition of Transfemoral Amputees With Powered Knee Prosthesis.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
May 2, 2024
To overcome the challenges posed by the complex structure and large parameter requirements of existing classification models, the authors propose an improved extreme learning machine (ELM) classifier for human locomotion intent recognition in this st...
Multimodal information bottleneck for deep reinforcement learning with multiple sensors.
Neural networks : the official journal of the International Neural Network Society
Apr 27, 2024
Reinforcement learning has achieved promising results on robotic control tasks but struggles to leverage information effectively from multiple sensory modalities that differ in many characteristics. Recent works construct auxiliary losses based on re...
Legged robots beyond bioinspiration.
Science robotics
Apr 24, 2024
Advances in engineering enable wheeled-legged hybrid locomotion, an achievement not feasible in biological systems.
Neonatal brain inflammation enhances methamphetamine-induced reinstated behavioral sensitization in adult rats analyzed with explainable machine learning.
Neurochemistry international
Apr 17, 2024
Neonatal brain inflammation produced by intraperitoneal (i.p.) injection of lipopolysaccharide (LPS) results in long-lasting brain dopaminergic injury and motor disturbances in adult rats. The goal of the present work is to investigate the effect of ...
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