AIMC Topic: Motion

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Liquid metal droplet motion transferred from an alkaline solution by a robot arm.

Lab on a chip
The excellent motion performance of gallium-based liquid metals (LMs) upon the application of a modest electric field has provided a new opportunity for the development of autonomous soft robots. However, the locomotion of LMs often appears in an alk...

Intravascular Tracking of Micro-Agents Using Medical Ultrasound: Towards Clinical Applications.

IEEE transactions on bio-medical engineering
OBJECTIVE: This study demonstrates intravascular micro-agent visualization by utilizing robotic ultrasound-based tracking and visual servoing in clinically-relevant scenarios.

An Optimization-Based Motion Planner for Car-like Logistics Robots on Narrow Roads.

Sensors (Basel, Switzerland)
Thanks to their strong maneuverability and high load capacity, car-like robots with non-holonomic constraints are often used in logistics to improve efficiency. However, it is difficult to plan a safe and smooth optimal path in real time on the restr...

A Geometric Kinematic Model for Flexible Voxel-Based Robots.

Soft robotics
Voxel-based structures provide a modular, mechanically flexible periodic lattice, which can be used as a soft robot through internal deformations. To engage these structures for robotic tasks, we use a finite element method to characterize the motion...

Motion grading of high-resolution quantitative computed tomography supported by deep convolutional neural networks.

Bone
Image quality degradation due to subject motion confounds the precision and reproducibility of measurements of bone density, morphology and mechanical properties from high-resolution peripheral quantitative computed tomography (HR-pQCT). Time-consumi...

Kinematics Calibration and Validation Approach Using Indoor Positioning System for an Omnidirectional Mobile Robot.

Sensors (Basel, Switzerland)
Monitoring and tracking issues related to autonomous mobile robots are currently intensively debated in order to ensure a more fluent functionality in supply chain management. The interest arises from both theoretical and practical concerns about pro...

Bayesian deep learning for error estimation in the analysis of anomalous diffusion.

Nature communications
Modern single-particle-tracking techniques produce extensive time-series of diffusive motion in a wide variety of systems, from single-molecule motion in living-cells to movement ecology. The quest is to decipher the physical mechanisms encoded in th...

Transformer-Based Maneuvering Target Tracking.

Sensors (Basel, Switzerland)
When tracking maneuvering targets, recurrent neural networks (RNNs), especially long short-term memory (LSTM) networks, are widely applied to sequentially capture the motion states of targets from observations. However, LSTMs can only extract feature...

Human mobile robot interaction in the retail environment.

Scientific data
As technology advances, Human-Robot Interaction (HRI) is boosting overall system efficiency and productivity. However, allowing robots to be present closely with humans will inevitably put higher demands on precise human motion tracking and predictio...

Mobile robot path planning with reformative bat algorithm.

PloS one
Mobile robot path planning has attracted much attention as a key technology in robotics research. In this paper, a reformative bat algorithm (RBA) for mobile robot path planning is proposed, which is employed as the control mechanism of robots. The D...