AIMC Topic: Friction

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Design of large-span stick-slip freely switchable hydrogels via dynamic multiscale contact synergy.

Nature communications Nov 15, 2022
Solid matter that can rapidly and reversibly switch between adhesive and non-adhesive states is desired in many technological domains including climbing robotics, actuators, wound dressings, and bioelectronics due to the ability for on-demand attachm...
Friction Adhesives Hydrogels Robotics
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Robust prediction of force chains in jammed solids using graph neural networks.

Nature communications Jul 30, 2022
Force chains are quasi-linear self-organised structures carrying large stresses and are ubiquitous in jammed amorphous materials like granular materials, foams or even cell assemblies. Predicting where they will form upon deformation is crucial to de...
Neural Networks, Computer Friction
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Locomotion of an untethered, worm-inspired soft robot driven by a shape-memory alloy skeleton.

Scientific reports Jul 20, 2022
Soft, worm-like robots show promise in complex and constrained environments due to their robust, yet simple movement patterns. Although many such robots have been developed, they either rely on tethered power supplies and complex designs or cannot mo...
Shape Memory Alloys Skeleton Locomotion Robotics Friction
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A minimally designed soft crawling robot for robust locomotion in unstructured pipes.

Bioinspiration & biomimetics Jul 8, 2022
Soft robots have attracted increasing attention due to their excellent versatility and broad applications. In this article, we present a minimally designed soft crawling robot (SCR) capable of robust locomotion in unstructured pipes with various geom...
Finite Element Analysis Friction Locomotion Gait Robotics
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The Use of Deep Learning Model for Effect Analysis of Conventional Friction Power Confinement.

Computational and mathematical methods in medicine Jun 7, 2022
Nonlinear friction could affect the high-precision motion system, resulting in poor tracking accuracy in the end. This is due to the fact that the Lugre friction model's parameter identification process comprises both static and dynamic parameter ide...
Algorithms Friction Deep Learning Humans Neural Networks, Computer
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Development of a Robot Arm Link System Embedded with a Three-Axis Sensor with a Simple Structure Capable of Excellent External Collision Detection.

Sensors (Basel, Switzerland) Feb 5, 2022
In order to effectively detect the contact state between the operator and the collaborative robot, a sensor with excellent external force detection performance is needed. The existing force/torque sensor and joint torque sensor, which are the two mai...
Robotics Torque Reproducibility of Results Friction Mechanical Phenomena
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Comparative Analysis of Machine Learning Methods for Predicting Robotized Incremental Metal Sheet Forming Force.

Sensors (Basel, Switzerland) Dec 21, 2021
This paper proposes a method for extracting information from the parameters of a single point incremental forming (SPIF) process. The measurement of the forming force using this technology helps to avoid failures, identify optimal processes, and to i...
Friction Machine Learning Neural Networks, Computer Mechanical Phenomena Metals
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Robust fuzzy sliding mode controller for a skid-steered vehicle subjected to friction variations.

PloS one Nov 16, 2021
Skid-steered vehicles (SSV) are gaining huge importance in the market due to their applications like construction, agricultural work, material handling etc. The accuracy of performing such tasks require a robust control algorithm. The design of such ...
Robotics Motor Vehicles Torque Models, Theoretical Fuzzy Logic Friction Computer Simulation
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Optimization of running-in surface morphology parameters based on the AutoML model.

PloS one Oct 4, 2021
Running-in is an important and relatively complicated process. The surface morphology prior to running-in affects the surface morphology following the running-in process, which in turn influences the friction and wear characteristics of the workpiece...
Machine Learning Forecasting Decision Trees Lubrication Materials Testing Surface Properties Support Vector Machine Friction Computer Simulation Oils
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Fault-tolerant scheme for robotic manipulator-Nonlinear robust back-stepping control with friction compensation.

PloS one Aug 20, 2021
Emerging applications of autonomous robots requiring stability and reliability cannot afford component failure to achieve operational objectives. Hence, identification and countermeasure of a fault is of utmost importance in mechatronics community. T...
Algorithms Robotics Nonlinear Dynamics Models, Theoretical Friction Equipment Design
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