Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Pywayne Ahrs Tools
Provides quaternion decomposition into Euler angles and roll/pitch compensation utilities for AHRS orientation handling with pywayne.ahrs.tools.
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Provides quaternion decomposition into Euler angles and roll/pitch compensation utilities for AHRS orientation handling with pywayne.ahrs.tools.
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Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- wangyendt
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Documentation
Pywayne AHRS Tools
This module provides quaternion-based AHRS (Attitude and Heading Reference System) utilities.
Quick Start
from pywayne.ahrs.tools import quaternion_decompose, quaternion_roll_pitch_compensate import numpy as np # Quaternion decomposition q = np.array([0.70710678, 0, 0, 0.707962]) # w, x, y, z angle_all, angle_heading, angle_inclination = quaternion_decompose(q) # Roll/pitch compensation q_comp = quaternion_roll_pitch_compensate(q)
Quaternion Decomposition
from pywayne.ahrs.tools import quaternion_decompose import numpy as np # Input quaternion (w, x, y, z) q = np.array([w, x, y, z]) # Decompose into angles angle_all, angle_heading, angle_inclination = quaternion_decompose(q) # angle_all: Rotation angles around all axes (vertical + horizontal) # angle_heading: Angle around vertical axis (inclination) # angle_inclination: Angle around horizontal axis (bank)
Roll/Pitch Compensation
from pywayne.ahrs.tools import quaternion_roll_pitch_compensate import numpy as np # Input quaternion (w, x, y, z) q = np.array([0.989893, -0.099295, 0.024504, -0.098242]) # Compensate pitch and roll to zero q_comp = quaternion_roll_pitch_compensate(q)
Requirements
numpy - Array operations qmt - OpenCV's quaternion module for conversions
Notes
Decomposition returns both angles (in radians) and heading/inclination angle_all is computed using 2*arccos/abs(quaternion_z) angle_heading uses arctan2(np.abs(quaternion_xy)) angle_inclination uses 2*arcsin(np.abs(quaternion_xy)) Roll/pitch compensation sets pitch and roll of q_comp to zero by using inverse rotation
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md