Author: Teng-Hu Chengemail: tenghu@nycu.edu.tw
Date: Jan. 2025
Website: https://ncrl.lab.nycu.edu.tw/member/
Sensor Fusion and Probabilistic Methods in Quadruped Robot Gait Phase Switching
Quadruped robots rely on sensor fusion and probabilistic models to accurately determine the switching between swing and stance phases for each leg. Since real-world terrains and robot dynamics are often uncertain, robust detection and prediction of gait phases are critical for stable locomotion, adaptive terrain response, and efficient movement.
1. Swing and Stance Phase Detection
Each leg of a quadruped robot alternates between two key phases:
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Sensor Fusion and Probabilistic Methods in Contact Detection for Robot Assembly
In robot assembly, accurate contact detection is critical for ensuring precise positioning, force-controlled assembly, and adaptability to variations in object alignment and surface properties. Unlike quadruped robots that switch between swing and stance phases, an assembly robot switches between free motion and constrained contact with its environment. To reliably detect contact, robots integrate contact force measurements and vision-based localization using sensor fusion and probabilistic inference.
1. Free Motion and Contact Phase Detection
A robotic manipulator or end-effector alternates between two key phases:
Free motion phase: The tool or gripper moves freely without external constraints.
Contact phase: The tool makes contact with an object or surface, requiring force control.
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This process is commonly used in particle resampling during particle filtering. Here's an example to illustrate the steps:
Scenario:
We have 5 particles with the following weights:
$$
\text{weights} = [0.1, 0.2, 0.4, 0.2, 0.1]$$
We want to resample these particles based on their weights to produce 5 new particles.
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Drags of Fixed-wing UAVs
Screenshot 2024-10-04 at 20.39.20
drags
Force magnitude in order
form drag>friction drag>Induced drag
Friction drag: boundary Layer Formation、Viscous Forces、Laminar and Turbulent Flow、Surface Roughness
form drag 由separation產生
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Author: Teng-Hu Cheng(程登湖)email: tenghu@nycu.edu.tw
Date: July 2024
Website: https://ncrl.lab.nycu.edu.tw/member/
Given a Big Picture of Your Work
Provide the overall structure if your work. It can be all the subtopics, or chapters.
big picture
<span style="color: red;">Cycling the big picture when transitioning to the next topic.</span>
cycling
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