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Related Concept Videos

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
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A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
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Related Experiment Video

Updated: May 14, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

A Complete Grocery Pick-and-Pack Application Using a Computationally Lightweight Vision-Based Mobile Manipulator.

Thanavin Mansakul1, Gilbert Tang1, Phil Webb1

  • 1Centre for Robotics and Assembly, Faculty of Engineering and Applied Sciences, Cranfield University, Bedford MK43 0AL, UK.

Sensors (Basel, Switzerland)
|May 13, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient, vision-based mobile manipulator system for grocery pick-and-pack tasks. It achieves high success rates and fast execution times on edge devices, demonstrating practical autonomous robotic capabilities.

Keywords:
end-to-end grasp detectionlightweight computationmachine visionmobile manipulatorobject detectionobject pose estimationvision-based grasping system

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Related Experiment Videos

Last Updated: May 14, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

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Published on: August 29, 2025

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

Area of Science:

  • Robotics
  • Computer Vision
  • Artificial Intelligence

Background:

  • Mobile manipulators are crucial for autonomous tasks requiring high performance.
  • Efficient operational processes are key for practical robotic applications.
  • Existing systems often lack lightweight, vision-based solutions for complex manipulation.

Purpose of the Study:

  • To develop and evaluate a complete grocery pick-and-pack system for a mobile manipulator.
  • To integrate a graphical user interface (GUI) with an end-to-end vision-based grasp detection pipeline.
  • To ensure the system is computationally lightweight for edge device deployment.

Main Methods:

  • Developed an end-to-end vision-based grasp detection pipeline for lightweight computation.
  • Integrated the pipeline with a mobile manipulator and a graphical user interface (GUI).
  • Evaluated the system on the challenging Grocery Pick-and-Pack Benchmark (Level-3).

Main Results:

  • Achieved an average success rate of 92% across five item classes.
  • Demonstrated an average execution time of 7.5 seconds on an edge device.
  • Obtained a compute-to-speed ratio (CSR) of 0.008 with a model size of 30.9 MB.

Conclusions:

  • The developed system showcases the practical impact of lightweight, vision-based mobile manipulation.
  • The research provides insights into challenges and future directions for autonomous robotic applications.
  • The system's performance was validated in real competition scenarios and across multiple hardware platforms.