AIMC Topic: Extremities

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Running up a wall: the role and challenges of dynamic climbing in enhancing multi-modal legged systems.

Bioinspiration & biomimetics Mar 26, 2015
Animals have demonstrated the ability to move through, across and over some of the most daunting environments on earth. This versatility and adaptability stems from their capacity to alter their locomotion dynamics and employ disparate locomotion mod...
Extremities Computer Simulation Running Animals Biomimetics Computer-Aided Design Equipment Failure Analysis Biological Clocks Robotics Equipment Design Models, Biological
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Quadrupedal galloping control for a wide range of speed via vertical impulse scaling.

Bioinspiration & biomimetics Mar 25, 2015
This paper presents a bio-inspired quadruped controller that allows variable-speed galloping. The controller design is inspired by observations from biological runners. Quadrupedal animals increase the vertical impulse that is generated by ground rea...
Physical Exertion Gait Models, Biological Running Biomimetics Extremities Computer Simulation Animals Robotics Feedback, Physiological
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On extracting design principles from biology: II. Case study-the effect of knee direction on bipedal robot running efficiency.

Bioinspiration & biomimetics Feb 2, 2015
Comparing the leg of an ostrich to that of a human suggests an important question to legged robot designers: should a robot's leg joint bend in the direction of running ('forwards') or opposite ('backwards')? Biological studies cannot answer this que...
Joints Models, Biological Equipment Failure Analysis Animals Robotics Humans Extremities Computer-Aided Design Equipment Design Biomimetics Birds Computer Simulation Range of Motion, Articular Gait
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Spines and Inclines: Bioinspired Spines on an Insect-Scale Robot Facilitate Locomotion on Rough and Inclined Terrain.

Integrative and comparative biology Nov 21, 2024
To navigate complex terrains, insects use diverse tarsal structures (adhesive pads, claws, spines) to reliably attach to and locomote across substrates. This includes surfaces of variable roughness and inclination, which often require reliable transi...
Locomotion Coleoptera Extremities Biomechanical Phenomena Animals Robotics
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External validation of the SORG machine learning for 90-day and 1-year mortality in patients suffering from extremity metastatic disease in an European cohort of 174 patients.

Acta orthopaedica Belgica Sep 1, 2024
Accurate survival prediction of patients with long-bone metastases is challenging, but important for optimizing treatment. The Skeletal Oncology Research Group (SORG) machine learning algorithm (MLA) has been previously developed and internally valid...
Bone Neoplasms Humans Netherlands Machine Learning Extremities Algorithms Male Female Middle Aged Aged Cohort Studies
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Assessing the Physical Impact of Supernumerary Limbs on a Human Subject: A Simulation Study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Wearable robotic systems physically interact with the human user, and it may alternate human body states. It has been studied to exploit the dynamics of Supernumerary Robotic Limbs (SRLs) to assist human balancing by constructing a closed-chain. Howe...
Extremities Biomechanical Phenomena Humans Robotics Computer Simulation Torque
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A virtual reality platform to evaluate the effects of supernumerary limbs' appearance.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Supernumerary robot limbs (SL) can expand the ability of users by increasing the number of degrees of freedom that they control. While several SLs have been designed and tested on human participants, the effect of the limb's appearance on the user's ...
Pilot Projects Virtual Reality Robotics Humans Extremities
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CORR Insights®: International Validation of the SORG Machine-learning Algorithm for Predicting the Survival of Patients with Extremity Metastases Undergoing Surgical Treatment.

Clinical orthopaedics and related research Feb 1, 2022
Machine Learning Algorithms Extremities Humans
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International Validation of the SORG Machine-learning Algorithm for Predicting the Survival of Patients with Extremity Metastases Undergoing Surgical Treatment.

Clinical orthopaedics and related research Feb 1, 2022
BACKGROUND: The Skeletal Oncology Research Group machine-learning algorithms (SORG-MLAs) estimate 90-day and 1-year survival in patients with long-bone metastases undergoing surgical treatment and have demonstrated good discriminatory ability on inte...
Bone Neoplasms Taiwan Predictive Value of Tests Adult Male Middle Aged Postoperative Period Extremities Humans Machine Learning Prognosis Female Aged Aged, 80 and over
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Reduced Effort Does Not Imply Slacking: Responsiveness to Error Increases With Robotic Assistance.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 1, 2018
In both neurorehabilitation and functional augmentation, the patient or the user's muscular effort diminishes when the movement of their limb is supported by a robot. Is this relaxation a result of "slacking" by letting the robot take-over the moveme...
Stroke Rehabilitation Exercise Robotics Female Physical Exertion Psychomotor Performance Adult Movement Humans Male Extremities Algorithms
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