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Related Concept Videos

Torque01:10

Torque

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Torque is an important quantity for describing the dynamics of a rotating rigid body. We see the application of torque in many ways in the world, such as when pressing the accelerator in a car, which causes the engine to apply additional torque on the drivetrain. Here, we define torque and provide a framework to create an equation to calculate torque for a rigid body with fixed-axis rotation.
Torque can be considered as the rotational counterpart to force. Since forces change the translational...
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Torque Free Motion01:15

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The torque-free motion refers to the movement of a rigid body in space when no external torques are acting upon it. This type of motion can be observed in environments where there are no external forces or frictions, like in outer space. For example, a rotation of Mars in space is a torque-free motion. Mars is an axisymmetric object, meaning it has an axis of symmetry along which it rotates, designated as the z-axis. The rotating frame of reference is defined such that the center of mass of...
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Net Torque Calculations01:19

Net Torque Calculations

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When a mechanic tries to remove a hex nut with a wrench, it is easier if the force is applied at the farthest end of the wrench handle. The lever arm is the distance from the pivot point (the hex nut in this case) to the person’s hand. If this distance is large, the torque is higher. Only the component of the force perpendicular to the lever arm contributes to the torque. Therefore, pushing the wrench perpendicular to the lever arm is more advantageous. If multiple people apply force to...
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The Anchoring-and-Adjustment Heuristic01:25

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In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
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Adjusting a Traverse01:12

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In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
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Torque On A Current Loop In A Magnetic Field01:13

Torque On A Current Loop In A Magnetic Field

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The most common application of magnetic force on current-carrying wires is in electric motors. These consist of loops of wire, which are placed between the magnets with a magnetic field. When current flows through the loops, the magnetic field applies torque, which causes the shaft to rotate, thus converting electrical energy to mechanical energy.
Consider a rectangular current-carrying loop containing N turns of wire, placed in a uniform magnetic field. The net force on a current-carrying loop...
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Experimental Robot Model Adjustments Based on Force-Torque Sensor Information.

Santiago Martinez1, Juan Miguel Garcia-Haro2, Juan G Victores3

  • 1System Engineering and Automation Department, University Carlos III, Av de la Universidad, 30, Madrid 28911, Spain. scasa@ing.uc3m.es.

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Summary

This study introduces a Dynamic Linear Inverted Pendulum Model (DLIPM) to improve humanoid robot balance control. The new model reduces oscillations and enhances precision by accounting for system inaccuracies.

Keywords:
balance controlforce–torque sensorshumanoid robotsimplified model

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Area of Science:

  • Robotics
  • Control Systems
  • Humanoid Robot Dynamics

Background:

  • Simplified models for humanoid robot balance control introduce errors.
  • Linear control systems struggle with inaccuracies outside their working point.
  • Existing models do not fully address electro-mechanical inaccuracies in robotic systems.

Purpose of the Study:

  • To improve humanoid robot balance control by minimizing errors and oscillations.
  • To develop a model applicable to non-linear control systems for multiple working points.
  • To enhance robot stability and precision during balance perturbations.

Main Methods:

  • Developed a Dynamic Linear Inverted Pendulum Model (DLIPM) for non-linear control.
  • Utilized force-torque sensor data to characterize and incorporate system inaccuracies.
  • Conducted balance perturbation experiments, simulating push-recovery trials with ZMP variations.

Main Results:

  • The DLIPM demonstrated more precise robot responses to balance perturbations.
  • Mechanical oscillations were significantly reduced in the robotic system.
  • Robot dynamics were maintained without compromise during control adjustments.

Conclusions:

  • The DLIPM effectively improves humanoid robot balance control accuracy and stability.
  • Accounting for system inaccuracies within the model enhances performance across various working points.
  • This approach offers a robust solution for precise humanoid robot locomotion.