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Related Concept Videos

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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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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Relative Motion Analysis using Rotating Axes01:25

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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
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Absolute Motion Analysis- General Plane Motion01:24

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Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
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Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

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Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
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Relative Motion Analysis using Rotating Axes - Acceleration01:22

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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
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Relative Motion Analysis - Acceleration01:10

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A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
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Related Experiment Video

Updated: Sep 3, 2025

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
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Multi-Criteria Evaluation for Sorting Motion Planner Alternatives.

Georgios Papaioannou1, Zaw Htike2, Chenhui Lin2

  • 1Department of Engineering Mechanics, KTH Royal Institute of Technology, Teknikringen 8, SE-100 44 Stockholm, Sweden.

Sensors (Basel, Switzerland)
|July 27, 2022
PubMed
Summary

This study minimizes motion sickness (MS) in automated vehicles using motion planning. An optimal control strategy generates velocity profiles, balancing MS, journey time, and passenger comfort for safer, more efficient autonomous travel.

Keywords:
automated vehiclesenergy efficiencyjourney timemotion planningmotion sicknesssafetysorting alternatives

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Area of Science:

  • Autonomous Systems
  • Human-Machine Interaction
  • Transportation Engineering

Background:

  • Automated vehicles promise enhanced stability, reduced commute times, and improved fuel efficiency.
  • Motion sickness (MS) poses a significant barrier to public acceptance and widespread adoption of autonomous vehicles.
  • Minimizing MS is crucial for realizing the full potential of automated mobility.

Purpose of the Study:

  • To apply motion planning techniques to minimize motion sickness in automated vehicles.
  • To formulate an optimal control problem for generating velocity profiles that reduce MS.
  • To create a Pareto Front balancing motion sickness and journey time.

Main Methods:

  • Formulation of an optimal control problem to determine velocity profiles for a fixed road path and journey time.
  • Generation of a Pareto Front to visualize trade-offs between motion sickness (MS) and journey time (JT).
  • Application of a sorting algorithm to select the optimal velocity profile from Pareto alternatives, considering multiple objectives.

Main Results:

  • The study presents a method for optimizing velocity profiles to minimize motion sickness in automated vehicles.
  • A Pareto Front was generated, illustrating the conflicting relationship between motion sickness and journey time.
  • A sorting algorithm identified an optimal solution balancing multiple factors including motion comfort, safety, energy efficiency, and journey time.

Conclusions:

  • Motion planning is an effective strategy for mitigating motion sickness in automated vehicles.
  • The developed approach provides a framework for selecting velocity profiles that optimize the compromise between passenger comfort, safety, and efficiency.
  • This research contributes to the development of more acceptable and reliable automated transportation systems.