AIMC Topic: Extremities
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Metamorphic aerial robot capable of mid-air shape morphing for rapid perching.
Scientific reports
Jan 23, 2023
Aerial robots can perch onto structures at heights to reduce energy use or to remain firmly in place when interacting with their surroundings. Like how birds have wings to fly and legs to perch, these bio-inspired aerial robots use independent perchi...
AquaClimber: a limbed swimming and climbing robot based on reduced order models.
Bioinspiration & biomimetics
Nov 16, 2022
Many legged robots have taken insight from animals to run, jump, and climb. Very few, however, have extended the flexibility of limbs to the task of swimming. In this paper, we address the study of multi-modal limbed locomotion by extending our later...
Reduction in Acquisition Time and Improvement in Image Quality in T2-Weighted MR Imaging of Musculoskeletal Tumors of the Extremities Using a Novel Deep Learning-Based Reconstruction Technique in a Turbo Spin Echo (TSE) Sequence.
Tomography (Ann Arbor, Mich.)
Jul 6, 2022
Background: The aim of this study was to assess the technical feasibility and the impact on image quality and acquisition time of a deep learning-accelerated fat-saturated T2-weighted turbo spin echo sequence in musculoskeletal imaging of the extremi...
Lower-extremity fatigue fracture detection and grading based on deep learning models of radiographs.
European radiology
Jun 24, 2022
OBJECTIVES: To identify the feasibility of deep learning-based diagnostic models for detecting and assessing lower-extremity fatigue fracture severity on plain radiographs.
A general locomotion control framework for multi-legged locomotors.
Bioinspiration & biomimetics
Jun 16, 2022
Serially connected robots are promising candidates for performing tasks in confined spaces such as search and rescue in large-scale disasters. Such robots are typically limbless, and we hypothesize that the addition of limbs could improve mobility. H...
Cockroaches adjust body and appendages to traverse cluttered large obstacles.
The Journal of experimental biology
May 23, 2022
To traverse complex terrain, animals often transition between locomotor modes. It is well known that locomotor transitions can be induced by switching in neural control circuits or driven by a need to minimize metabolic energetic cost. Recent work re...
Simple decentralized control mechanism that enables limb adjustment for adaptive quadruped running.
Proceedings. Biological sciences
Nov 3, 2021
Quadrupeds exhibit versatile and adaptive running by exploiting the flying phase during the stride cycle. Various interlimb coordination mechanisms focusing on mechanical loads during the stance phase have been proposed to understand the underlying c...
The preoperative machine learning algorithm for extremity metastatic disease can predict 90-day and 1-year survival: An external validation study.
Journal of surgical oncology
Oct 5, 2021
BACKGROUND: The prediction of survival is valuable to optimize treatment of metastatic long-bone disease. The Skeletal Oncology Research Group (SORG) machine-learning (ML) algorithm has been previously developed and internally validated. The purpose ...
HUMANNET-A Two-Tiered Deep Neural Network Architecture for Self-Occluding Humanoid Pose Reconstruction.
Sensors (Basel, Switzerland)
Jun 8, 2021
Majority of current research focuses on a single static object reconstruction from a given pointcloud. However, the existing approaches are not applicable to real world applications such as dynamic and morphing scene reconstruction. To solve this, we...
The CPGs for Limbed Locomotion-Facts and Fiction.
International journal of molecular sciences
May 30, 2021
The neuronal networks that generate locomotion are well understood in swimming animals such as the lamprey, zebrafish and tadpole. The networks controlling locomotion in tetrapods remain, however, still enigmatic with an intricate motor pattern requi...
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