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Related Concept Videos

Method of Joints: Problem Solving II01:30

Method of Joints: Problem Solving II

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Consider a truss structure with frictionless joints fixed to a wall and roller support. If a force of 150 N is applied to joint A, the forces in each member of the truss can be determined using the method of joints.
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Method of Joints: Problem Solving I01:30

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The method of joints is a commonly used technique to analyze the forces in structural trusses. The method is based on the principle of equilibrium, which assumes that the truss members are connected by frictionless pins. The forces at each joint can be determined by considering the equilibrium of the forces acting on that joint. Consider a truss structure with two forces of 20 N and 10 N acting at joints C and D, respectively. The method of joints can be used to determine the forces FCB, FDC,...
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Three-Dimensional Force System:Problem Solving01:30

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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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Two-Dimensional Force System: Problem Solving01:29

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Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

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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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Statically Indeterminate Problem Solving01:16

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Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
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Related Experiment Video

Updated: Sep 13, 2025

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Intelligent Joint Space Path Planning: Enhancing Motion Feasibility with Goal-Driven and Potential Field Strategies.

Yuzhou Li1, Yefeng Yang1, Kang Liu1

  • 1Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China.

Sensors (Basel, Switzerland)
|July 30, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm for robotic manipulator path planning that improves target guidance and obstacle avoidance. The goal-biased bidirectional artificial potential field-based rapidly-exploring random tree* (GBAPF-RRT*) offers faster speeds and shorter paths in complex scenarios.

Keywords:
collision avoidancejoint spacemanipulatorpath planningrapidly-exploring random tree

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Control Systems

Background:

  • Traditional robotic manipulator path planning often overlooks full manipulator collision avoidance.
  • Existing algorithms face challenges with high time complexity and local minima entrapment.

Purpose of the Study:

  • To propose a novel algorithm, GBAPF-RRT*, enhancing manipulator path planning.
  • To improve target guidance and comprehensive collision avoidance capabilities.

Main Methods:

  • Utilized Gaussian distribution for heuristic guidance to accelerate RRT* exploration.
  • Integrated a modified repulsion function to mitigate local minima entrapment.
  • Conducted simulations and physical experiments in joint space.

Main Results:

  • The GBAPF-RRT* algorithm demonstrated enhanced target guidance and obstacle avoidance.
  • Achieved faster search speeds compared to traditional methods.
  • Generated shorter paths in complex planning environments.

Conclusions:

  • The proposed GBAPF-RRT* algorithm is effective and superior for robotic manipulator path planning.
  • The method addresses limitations of traditional approaches, offering improved performance.