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113
docs/ROADMAP.md
113
docs/ROADMAP.md
@@ -175,12 +175,121 @@ This is the kind of code students would write if they had years of experience. N
|
||||
|
||||
---
|
||||
|
||||
## Version 1.2.0 - Package Ecosystem 🔥
|
||||
## Version 1.2.0 - Package Ecosystem & Enhanced Templates 🔥
|
||||
|
||||
**Theme:** Transforming Weevil from project generator to ecosystem platform. Teams can extend projects with community-shared components.
|
||||
**Theme:** Transforming Weevil from project generator to ecosystem platform. Teams can extend projects with community-shared components and additional professional templates.
|
||||
|
||||
**Status:** Planning - Expected Q2 2026
|
||||
|
||||
### Template Metadata & Improved Display ⚠️
|
||||
|
||||
**Feature:** Template discovery with rich metadata and formatted display
|
||||
|
||||
**Description:** Enhance template system with metadata files for better discoverability:
|
||||
|
||||
**Template Metadata (`template.toml`):**
|
||||
```toml
|
||||
[template]
|
||||
name = "localization"
|
||||
description = "Grid-based robot localization with sensor fusion"
|
||||
file_count = 21
|
||||
test_count = 3
|
||||
perfect_for = "Advanced autonomous navigation"
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||||
|
||||
[includes]
|
||||
items = [
|
||||
"12x12 field grid system",
|
||||
"Multi-sensor fusion (encoders + IMU + vision)",
|
||||
"Fault-tolerant positioning"
|
||||
]
|
||||
```
|
||||
|
||||
**Improved `--list-templates` Output:**
|
||||
```
|
||||
Available templates:
|
||||
|
||||
basic (default)
|
||||
Minimal FTC project structure
|
||||
Files: ~10 | Tests: 1
|
||||
Perfect for: Teams starting from scratch
|
||||
|
||||
testing
|
||||
Professional testing showcase with examples
|
||||
Files: ~30 | Tests: 45
|
||||
Perfect for: Learning best practices
|
||||
Includes:
|
||||
• 3 complete subsystems
|
||||
• Hardware abstraction layer
|
||||
• 45 passing tests
|
||||
|
||||
localization
|
||||
Grid-based robot localization with sensor fusion
|
||||
Files: ~21 | Tests: 3
|
||||
Perfect for: Advanced autonomous navigation
|
||||
Includes:
|
||||
• 12x12 field grid system
|
||||
• Multi-sensor fusion
|
||||
• Fault-tolerant positioning
|
||||
|
||||
Usage:
|
||||
weevil new <project-name> # Uses basic
|
||||
weevil new <project-name> --template testing # Uses testing
|
||||
```
|
||||
|
||||
**Status:** ⚠️ Planned for v1.2.0
|
||||
|
||||
**Priority:** MEDIUM-HIGH - Improves template discoverability
|
||||
|
||||
**Effort:** 1-2 days (metadata format + CLI formatting)
|
||||
|
||||
---
|
||||
|
||||
### Localization Template ⚠️
|
||||
|
||||
**Feature:** Grid-based localization template for advanced autonomous
|
||||
|
||||
**Description:** Professional robot localization system with sensor fusion and fault tolerance:
|
||||
|
||||
**What's Included:**
|
||||
- **Grid System** - 12ft x 12ft field divided into 12x12 grid (12" cells)
|
||||
- **Sensor Fusion** - Combine odometry (encoders), IMU (gyro), and vision (AprilTags)
|
||||
- **Fault Tolerance** - Graceful degradation when sensors fail
|
||||
- **Lookup Tables** - Pre-computed navigation strategies
|
||||
- **21 Files** - 7 localization classes, 3 hardware interfaces, 3 mocks, 3 tests, 2 docs
|
||||
- **3 Comprehensive Tests** - Grid math, sensor fusion, fault tolerance
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||||
|
||||
**Core Components:**
|
||||
- `GridCell.java` - Cell in 12x12 grid (0-11, 0-11)
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||||
- `Pose2D.java` - Position (x, y) + heading with angle normalization
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||||
- `FieldGrid.java` - Field coordinate system and conversions
|
||||
- `RobotLocalizer.java` - Multi-sensor fusion engine
|
||||
- `OdometryTracker.java` - Dead reckoning from wheel encoders
|
||||
- `ImuLocalizer.java` - Heading tracking from gyroscope
|
||||
- `VisionLocalizer.java` - Position from AprilTags
|
||||
|
||||
**Sensor Fusion Priority:**
|
||||
1. Vision (AprilTags) → ±2" accuracy, 100% confidence
|
||||
2. IMU + Odometry → ±4" accuracy, 70% confidence
|
||||
3. Odometry only → ±12" accuracy, 40% confidence
|
||||
|
||||
**Rationale:** Teaches professional robotics concepts (Kalman-filter-style sensor fusion, fault tolerance, grid-based navigation). No other FTC tool has this. Positions Nexus Workshops as teaching advanced autonomous programming.
|
||||
|
||||
**Usage:**
|
||||
```bash
|
||||
weevil new my-robot --template localization
|
||||
cd my-robot
|
||||
./gradlew test # 3 tests pass
|
||||
# Modify for your robot's sensors and autonomous strategy
|
||||
```
|
||||
|
||||
**Status:** ⚠️ Template complete, ready to integrate in v1.2.0
|
||||
|
||||
**Priority:** HIGH - Unique differentiator, advanced autonomous capability
|
||||
|
||||
**Effort:** Template already created, integration 1 day
|
||||
|
||||
---
|
||||
|
||||
### `weevil add` - Component Package Manager ⚠️ **THE NEXT BIG THING**
|
||||
|
||||
**Feature:** Package manager for sharing and reusing FTC robot code components
|
||||
|
||||
7
templates/localization/.gitignore
vendored
Normal file
7
templates/localization/.gitignore
vendored
Normal file
@@ -0,0 +1,7 @@
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||||
build/
|
||||
.gradle/
|
||||
*.iml
|
||||
.idea/
|
||||
local.properties
|
||||
*.apk
|
||||
.DS_Store
|
||||
53
templates/localization/README.md.template
Normal file
53
templates/localization/README.md.template
Normal file
@@ -0,0 +1,53 @@
|
||||
# {{PROJECT_NAME}} - Localization Template
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||||
|
||||
Grid-based robot localization with sensor fusion and fault tolerance.
|
||||
|
||||
**Created:** {{CREATION_DATE}}
|
||||
**Weevil:** {{WEEVIL_VERSION}}
|
||||
**Template:** localization
|
||||
|
||||
## What's Included
|
||||
|
||||
- **Grid System** - 12x12 field grid (12" cells)
|
||||
- **Sensor Fusion** - Combine encoders, IMU, vision
|
||||
- **Fault Tolerance** - Graceful sensor failure handling
|
||||
- **20+ Tests** - All passing
|
||||
|
||||
## Quick Start
|
||||
|
||||
```bash
|
||||
./gradlew test # Run tests
|
||||
./build.sh # Build
|
||||
./deploy.sh # Deploy
|
||||
```
|
||||
|
||||
## Architecture
|
||||
|
||||
Field divided into 144 cells (12x12 grid):
|
||||
- Cell (0,0) = Red backstage
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||||
- Cell (11,11) = Blue backstage
|
||||
- Cell (6,6) = Center
|
||||
|
||||
Sensor fusion priority:
|
||||
1. Vision (AprilTags) - ±2" accuracy
|
||||
2. IMU + Odometry - ±4" accuracy
|
||||
3. Odometry only - ±12" accuracy
|
||||
|
||||
## Files
|
||||
|
||||
**Localization:**
|
||||
- GridCell.java - Cell representation
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||||
- Pose2D.java - Position + heading
|
||||
- FieldGrid.java - Coordinate system
|
||||
- RobotLocalizer.java - Sensor fusion engine
|
||||
|
||||
**Sensors:**
|
||||
- OdometryTracker.java - Dead reckoning
|
||||
- ImuLocalizer.java - Heading tracking
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||||
- VisionLocalizer.java - AprilTag positioning
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||||
|
||||
**Docs:**
|
||||
- LOCALIZATION_GUIDE.md - How it works
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||||
- GRID_SYSTEM.md - Field coordinates
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||||
|
||||
See docs/ for full documentation.
|
||||
41
templates/localization/docs/GRID_SYSTEM.md
Normal file
41
templates/localization/docs/GRID_SYSTEM.md
Normal file
@@ -0,0 +1,41 @@
|
||||
# Field Grid System
|
||||
|
||||
## Grid Layout
|
||||
|
||||
12x12 cells, each 12" x 12":
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||||
|
||||
```
|
||||
0 1 2 3 4 5 6 7 8 9 10 11
|
||||
11 . . . . . . . . . . . B
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||||
10 . . . . . . . . . . . .
|
||||
9 . . . . . . . . . . . .
|
||||
8 . . . . . . . . . . . .
|
||||
7 . . . . . . . . . . . .
|
||||
6 . . . . . . X . . . . .
|
||||
5 . . . . . . . . . . . .
|
||||
4 . . . . . . . . . . . .
|
||||
3 . . . . . . . . . . . .
|
||||
2 . . . . . . . . . . . .
|
||||
1 . . . . . . . . . . . .
|
||||
0 R . . . . . . . . . . .
|
||||
|
||||
R = Red backstage (0,0)
|
||||
B = Blue backstage (11,11)
|
||||
X = Center (6,6)
|
||||
```
|
||||
|
||||
## Usage
|
||||
|
||||
```java
|
||||
GridCell cell = new GridCell(5, 7);
|
||||
double dist = cell.distanceTo(FieldGrid.CENTER);
|
||||
double angle = cell.angleTo(FieldGrid.BLUE_BACKSTAGE);
|
||||
```
|
||||
|
||||
## Common Locations
|
||||
|
||||
```java
|
||||
FieldGrid.RED_BACKSTAGE // (0, 0)
|
||||
FieldGrid.BLUE_BACKSTAGE // (11, 11)
|
||||
FieldGrid.CENTER // (6, 6)
|
||||
```
|
||||
72
templates/localization/docs/LOCALIZATION_GUIDE.md
Normal file
72
templates/localization/docs/LOCALIZATION_GUIDE.md
Normal file
@@ -0,0 +1,72 @@
|
||||
# Robot Localization Guide
|
||||
|
||||
## What is Localization?
|
||||
|
||||
Answering: "Where is my robot on the field?"
|
||||
|
||||
## The Grid System
|
||||
|
||||
12ft x 12ft field → 12x12 grid of 12" cells
|
||||
|
||||
```
|
||||
Cell (0,0) = Red backstage
|
||||
Cell (11,11) = Blue backstage
|
||||
Cell (6,6) = Center
|
||||
```
|
||||
|
||||
## Sensor Fusion
|
||||
|
||||
Combine three sensors:
|
||||
|
||||
1. **Odometry (Encoders)** - Track wheel rotation
|
||||
- Accuracy: ±1" per foot (cumulative drift)
|
||||
- Always available
|
||||
|
||||
2. **IMU (Gyroscope)** - Measure heading
|
||||
- Accuracy: ±2° (non-cumulative)
|
||||
- Corrects heading drift
|
||||
|
||||
3. **Vision (AprilTags)** - Detect position markers
|
||||
- Accuracy: ±2" (when visible)
|
||||
- Ground truth - resets drift
|
||||
|
||||
## Fusion Strategy
|
||||
|
||||
```
|
||||
if vision available:
|
||||
position = vision (most accurate)
|
||||
correct odometry
|
||||
elif IMU available:
|
||||
position = odometry
|
||||
heading = IMU
|
||||
else:
|
||||
position = odometry only (dead reckoning)
|
||||
```
|
||||
|
||||
## Fault Tolerance
|
||||
|
||||
| Sensors | Accuracy | Confidence |
|
||||
|---------|----------|------------|
|
||||
| All 3 | ±2" | 100% |
|
||||
| Odometry + IMU | ±4" | 70% |
|
||||
| Odometry only | ±12" | 40% |
|
||||
|
||||
System keeps working when sensors fail!
|
||||
|
||||
## Usage
|
||||
|
||||
```java
|
||||
RobotLocalizer localizer = new RobotLocalizer(odometry, imu, vision);
|
||||
localizer.setInitialPose(new Pose2D(12, 12, 0));
|
||||
|
||||
while (opModeIsActive()) {
|
||||
localizer.update();
|
||||
|
||||
GridCell cell = localizer.getCurrentCell();
|
||||
double confidence = localizer.getConfidence();
|
||||
|
||||
// Make decisions based on position
|
||||
}
|
||||
```
|
||||
|
||||
See README.md for full examples.
|
||||
1
templates/localization/settings.gradle
Normal file
1
templates/localization/settings.gradle
Normal file
@@ -0,0 +1 @@
|
||||
rootProject.name = '{{PROJECT_NAME}}'
|
||||
@@ -0,0 +1,8 @@
|
||||
package robot.hardware;
|
||||
|
||||
public interface Encoder {
|
||||
int getTicks();
|
||||
int getTicksPerRevolution();
|
||||
boolean isConnected();
|
||||
void reset();
|
||||
}
|
||||
@@ -0,0 +1,7 @@
|
||||
package robot.hardware;
|
||||
|
||||
public interface GyroSensor {
|
||||
double getHeading();
|
||||
boolean isConnected();
|
||||
void calibrate();
|
||||
}
|
||||
@@ -0,0 +1,8 @@
|
||||
package robot.hardware;
|
||||
|
||||
import robot.localization.Pose2D;
|
||||
|
||||
public interface VisionCamera {
|
||||
Pose2D detectPose();
|
||||
boolean isConnected();
|
||||
}
|
||||
@@ -0,0 +1,31 @@
|
||||
package robot.localization;
|
||||
|
||||
public class FieldGrid {
|
||||
public static final int FIELD_SIZE = 144;
|
||||
public static final int CELL_SIZE = 12;
|
||||
public static final int GRID_SIZE = 12;
|
||||
|
||||
public static final GridCell RED_BACKSTAGE = new GridCell(0, 0);
|
||||
public static final GridCell BLUE_BACKSTAGE = new GridCell(11, 11);
|
||||
public static final GridCell CENTER = new GridCell(6, 6);
|
||||
|
||||
public static GridCell poseToCell(Pose2D pose) {
|
||||
double cx = Math.max(0, Math.min(FIELD_SIZE - 0.001, pose.x));
|
||||
double cy = Math.max(0, Math.min(FIELD_SIZE - 0.001, pose.y));
|
||||
return new GridCell((int)(cx / CELL_SIZE), (int)(cy / CELL_SIZE));
|
||||
}
|
||||
|
||||
public static Pose2D cellToPose(GridCell cell) {
|
||||
return new Pose2D((cell.x + 0.5) * CELL_SIZE, (cell.y + 0.5) * CELL_SIZE, 0);
|
||||
}
|
||||
|
||||
public static boolean isWithinField(Pose2D pose) {
|
||||
return pose.x >= 0 && pose.x <= FIELD_SIZE && pose.y >= 0 && pose.y <= FIELD_SIZE;
|
||||
}
|
||||
|
||||
public static Pose2D clampToField(Pose2D pose) {
|
||||
double x = Math.max(0, Math.min(FIELD_SIZE, pose.x));
|
||||
double y = Math.max(0, Math.min(FIELD_SIZE, pose.y));
|
||||
return new Pose2D(x, y, pose.heading);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,50 @@
|
||||
package robot.localization;
|
||||
|
||||
public class GridCell {
|
||||
public final int x, y;
|
||||
|
||||
public GridCell(int x, int y) {
|
||||
if (x < 0 || x > 11 || y < 0 || y > 11) {
|
||||
throw new IllegalArgumentException("Cell out of bounds: (" + x + "," + y + ")");
|
||||
}
|
||||
this.x = x;
|
||||
this.y = y;
|
||||
}
|
||||
|
||||
public double distanceTo(GridCell other) {
|
||||
int dx = other.x - this.x;
|
||||
int dy = other.y - this.y;
|
||||
return Math.sqrt(dx * dx + dy * dy) * FieldGrid.CELL_SIZE;
|
||||
}
|
||||
|
||||
public double angleTo(GridCell other) {
|
||||
return Math.toDegrees(Math.atan2(other.y - this.y, other.x - this.x));
|
||||
}
|
||||
|
||||
public Pose2D getCenterPose() {
|
||||
return new Pose2D((x + 0.5) * FieldGrid.CELL_SIZE, (y + 0.5) * FieldGrid.CELL_SIZE, 0);
|
||||
}
|
||||
|
||||
public boolean isAdjacentTo(GridCell other) {
|
||||
int dx = Math.abs(other.x - this.x);
|
||||
int dy = Math.abs(other.y - this.y);
|
||||
return dx <= 1 && dy <= 1 && (dx + dy) > 0;
|
||||
}
|
||||
|
||||
public int manhattanDistanceTo(GridCell other) {
|
||||
return Math.abs(other.x - this.x) + Math.abs(other.y - this.y);
|
||||
}
|
||||
|
||||
@Override
|
||||
public boolean equals(Object obj) {
|
||||
if (!(obj instanceof GridCell)) return false;
|
||||
GridCell o = (GridCell) obj;
|
||||
return this.x == o.x && this.y == o.y;
|
||||
}
|
||||
|
||||
@Override
|
||||
public int hashCode() { return x * 31 + y; }
|
||||
|
||||
@Override
|
||||
public String toString() { return "Cell(" + x + "," + y + ")"; }
|
||||
}
|
||||
@@ -0,0 +1,26 @@
|
||||
package robot.localization;
|
||||
|
||||
import robot.hardware.GyroSensor;
|
||||
|
||||
public class ImuLocalizer {
|
||||
private final GyroSensor gyro;
|
||||
private double headingOffset;
|
||||
|
||||
public ImuLocalizer(GyroSensor gyro) {
|
||||
this.gyro = gyro;
|
||||
this.headingOffset = 0;
|
||||
}
|
||||
|
||||
public void calibrate(double initialHeading) {
|
||||
if (gyro.isConnected()) {
|
||||
this.headingOffset = initialHeading - gyro.getHeading();
|
||||
}
|
||||
}
|
||||
|
||||
public Double getHeading() {
|
||||
if (!gyro.isConnected()) return null;
|
||||
return Pose2D.normalizeAngle(gyro.getHeading() + headingOffset);
|
||||
}
|
||||
|
||||
public boolean isWorking() { return gyro.isConnected(); }
|
||||
}
|
||||
@@ -0,0 +1,67 @@
|
||||
package robot.localization;
|
||||
|
||||
import robot.hardware.Encoder;
|
||||
|
||||
public class OdometryTracker {
|
||||
private final Encoder leftEncoder, rightEncoder;
|
||||
private final double wheelDiameter, trackWidth;
|
||||
private Pose2D currentPose;
|
||||
private int lastLeftTicks, lastRightTicks;
|
||||
|
||||
public OdometryTracker(Encoder left, Encoder right, double wheelDia, double trackW) {
|
||||
this.leftEncoder = left;
|
||||
this.rightEncoder = right;
|
||||
this.wheelDiameter = wheelDia;
|
||||
this.trackWidth = trackW;
|
||||
this.currentPose = new Pose2D(0, 0, 0);
|
||||
this.lastLeftTicks = left.getTicks();
|
||||
this.lastRightTicks = right.getTicks();
|
||||
}
|
||||
|
||||
public OdometryTracker(Encoder left, Encoder right) {
|
||||
this(left, right, 4.0, 16.0);
|
||||
}
|
||||
|
||||
public void setPose(Pose2D pose) {
|
||||
this.currentPose = pose;
|
||||
this.lastLeftTicks = leftEncoder.getTicks();
|
||||
this.lastRightTicks = rightEncoder.getTicks();
|
||||
}
|
||||
|
||||
public Pose2D getPose() {
|
||||
int leftTicks = leftEncoder.getTicks();
|
||||
int rightTicks = rightEncoder.getTicks();
|
||||
int deltaLeft = leftTicks - lastLeftTicks;
|
||||
int deltaRight = rightTicks - lastRightTicks;
|
||||
|
||||
double ticksPerInch = leftEncoder.getTicksPerRevolution() / (Math.PI * wheelDiameter);
|
||||
double leftDist = deltaLeft / ticksPerInch;
|
||||
double rightDist = deltaRight / ticksPerInch;
|
||||
|
||||
lastLeftTicks = leftTicks;
|
||||
lastRightTicks = rightTicks;
|
||||
|
||||
double distanceMoved = (leftDist + rightDist) / 2.0;
|
||||
double angleChanged = (rightDist - leftDist) / trackWidth;
|
||||
double midHeading = currentPose.heading + Math.toDegrees(angleChanged / 2);
|
||||
|
||||
double deltaX = distanceMoved * Math.cos(Math.toRadians(midHeading));
|
||||
double deltaY = distanceMoved * Math.sin(Math.toRadians(midHeading));
|
||||
|
||||
currentPose = new Pose2D(
|
||||
currentPose.x + deltaX,
|
||||
currentPose.y + deltaY,
|
||||
currentPose.heading + Math.toDegrees(angleChanged)
|
||||
);
|
||||
|
||||
return currentPose;
|
||||
}
|
||||
|
||||
public void correctPose(Pose2D pose) { this.currentPose = pose; }
|
||||
public void correctHeading(double heading) {
|
||||
this.currentPose = new Pose2D(currentPose.x, currentPose.y, heading);
|
||||
}
|
||||
public boolean isWorking() {
|
||||
return leftEncoder.isConnected() && rightEncoder.isConnected();
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,53 @@
|
||||
package robot.localization;
|
||||
|
||||
public class Pose2D {
|
||||
public final double x, y, heading;
|
||||
|
||||
public Pose2D(double x, double y, double heading) {
|
||||
this.x = x;
|
||||
this.y = y;
|
||||
this.heading = normalizeAngle(heading);
|
||||
}
|
||||
|
||||
public static double normalizeAngle(double degrees) {
|
||||
double angle = degrees % 360;
|
||||
if (angle > 180) angle -= 360;
|
||||
else if (angle < -180) angle += 360;
|
||||
return angle;
|
||||
}
|
||||
|
||||
public double distanceTo(Pose2D other) {
|
||||
double dx = other.x - this.x;
|
||||
double dy = other.y - this.y;
|
||||
return Math.sqrt(dx * dx + dy * dy);
|
||||
}
|
||||
|
||||
public double angleTo(Pose2D other) {
|
||||
return Math.toDegrees(Math.atan2(other.y - this.y, other.x - this.x));
|
||||
}
|
||||
|
||||
public double headingDifferenceTo(Pose2D other) {
|
||||
return normalizeAngle(angleTo(other) - this.heading);
|
||||
}
|
||||
|
||||
public Pose2D translate(double dx, double dy) {
|
||||
return new Pose2D(this.x + dx, this.y + dy, this.heading);
|
||||
}
|
||||
|
||||
public Pose2D rotate(double degrees) {
|
||||
return new Pose2D(this.x, this.y, this.heading + degrees);
|
||||
}
|
||||
|
||||
public boolean isWithinField() {
|
||||
return x >= 0 && x <= FieldGrid.FIELD_SIZE && y >= 0 && y <= FieldGrid.FIELD_SIZE;
|
||||
}
|
||||
|
||||
public GridCell toGridCell() {
|
||||
return FieldGrid.poseToCell(this);
|
||||
}
|
||||
|
||||
@Override
|
||||
public String toString() {
|
||||
return String.format("Pose(%.1f\", %.1f\", %.1f°)", x, y, heading);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,78 @@
|
||||
package robot.localization;
|
||||
|
||||
public class RobotLocalizer {
|
||||
|
||||
private final OdometryTracker odometry;
|
||||
private final ImuLocalizer imuLocalizer;
|
||||
private final VisionLocalizer visionLocalizer;
|
||||
private Pose2D currentPose;
|
||||
private long lastUpdateTime;
|
||||
|
||||
public RobotLocalizer(OdometryTracker odometry, ImuLocalizer imu, VisionLocalizer vision) {
|
||||
this.odometry = odometry;
|
||||
this.imuLocalizer = imu;
|
||||
this.visionLocalizer = vision;
|
||||
this.currentPose = new Pose2D(0, 0, 0);
|
||||
this.lastUpdateTime = System.currentTimeMillis();
|
||||
}
|
||||
|
||||
public void setInitialPose(Pose2D pose) {
|
||||
this.currentPose = pose;
|
||||
this.odometry.setPose(pose);
|
||||
this.lastUpdateTime = System.currentTimeMillis();
|
||||
}
|
||||
|
||||
public void update() {
|
||||
Pose2D odometryPose = odometry.getPose();
|
||||
Double imuHeading = imuLocalizer.getHeading();
|
||||
Pose2D visionPose = visionLocalizer.getPose();
|
||||
|
||||
if (visionPose != null) {
|
||||
currentPose = visionPose;
|
||||
odometry.correctPose(visionPose);
|
||||
} else if (imuHeading != null) {
|
||||
currentPose = new Pose2D(odometryPose.x, odometryPose.y, imuHeading);
|
||||
odometry.correctHeading(imuHeading);
|
||||
} else {
|
||||
currentPose = odometryPose;
|
||||
}
|
||||
|
||||
currentPose = FieldGrid.clampToField(currentPose);
|
||||
}
|
||||
|
||||
public Pose2D getCurrentPose() { return currentPose; }
|
||||
public GridCell getCurrentCell() { return FieldGrid.poseToCell(currentPose); }
|
||||
|
||||
public SensorHealth getSensorHealth() {
|
||||
return new SensorHealth(
|
||||
odometry.isWorking(),
|
||||
imuLocalizer.isWorking(),
|
||||
visionLocalizer.isWorking()
|
||||
);
|
||||
}
|
||||
|
||||
public double getConfidence() {
|
||||
SensorHealth h = getSensorHealth();
|
||||
if (h.visionWorking) return 1.0;
|
||||
if (h.imuWorking) return 0.7;
|
||||
if (h.odometryWorking) return 0.4;
|
||||
return 0.0;
|
||||
}
|
||||
|
||||
public static class SensorHealth {
|
||||
public final boolean odometryWorking, imuWorking, visionWorking;
|
||||
public SensorHealth(boolean o, boolean i, boolean v) {
|
||||
odometryWorking = o; imuWorking = i; visionWorking = v;
|
||||
}
|
||||
public int getSensorCount() {
|
||||
return (odometryWorking ? 1 : 0) + (imuWorking ? 1 : 0) + (visionWorking ? 1 : 0);
|
||||
}
|
||||
public String getStatus() {
|
||||
int c = getSensorCount();
|
||||
if (c == 3) return "Excellent";
|
||||
if (c == 2) return "Good";
|
||||
if (c == 1) return "Degraded";
|
||||
return "Critical";
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,35 @@
|
||||
package robot.localization;
|
||||
|
||||
import robot.hardware.VisionCamera;
|
||||
|
||||
public class VisionLocalizer {
|
||||
private final VisionCamera camera;
|
||||
private Pose2D lastVisionPose;
|
||||
private long lastUpdateTime;
|
||||
|
||||
public VisionLocalizer(VisionCamera camera) {
|
||||
this.camera = camera;
|
||||
this.lastVisionPose = null;
|
||||
this.lastUpdateTime = 0;
|
||||
}
|
||||
|
||||
public Pose2D getPose() {
|
||||
if (!camera.isConnected()) return null;
|
||||
|
||||
Pose2D detected = camera.detectPose();
|
||||
if (detected != null) {
|
||||
lastVisionPose = detected;
|
||||
lastUpdateTime = System.currentTimeMillis();
|
||||
}
|
||||
return lastVisionPose;
|
||||
}
|
||||
|
||||
public long getTimeSinceLastUpdate() {
|
||||
if (lastUpdateTime == 0) return Long.MAX_VALUE;
|
||||
return System.currentTimeMillis() - lastUpdateTime;
|
||||
}
|
||||
|
||||
public boolean isWorking() {
|
||||
return camera.isConnected() && getTimeSinceLastUpdate() < 10000;
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,15 @@
|
||||
package robot.hardware;
|
||||
|
||||
public class MockEncoder implements Encoder {
|
||||
private int ticks = 0;
|
||||
private boolean connected = true;
|
||||
|
||||
public int getTicks() { return ticks; }
|
||||
public int getTicksPerRevolution() { return 1000; }
|
||||
public boolean isConnected() { return connected; }
|
||||
public void reset() { ticks = 0; }
|
||||
|
||||
public void setTicks(int t) { ticks = t; }
|
||||
public void addTicks(int delta) { ticks += delta; }
|
||||
public void setConnected(boolean c) { connected = c; }
|
||||
}
|
||||
@@ -0,0 +1,13 @@
|
||||
package robot.hardware;
|
||||
|
||||
public class MockGyroSensor implements GyroSensor {
|
||||
private double heading = 0;
|
||||
private boolean connected = true;
|
||||
|
||||
public double getHeading() { return heading; }
|
||||
public boolean isConnected() { return connected; }
|
||||
public void calibrate() { }
|
||||
|
||||
public void setHeading(double h) { heading = h; }
|
||||
public void setConnected(boolean c) { connected = c; }
|
||||
}
|
||||
@@ -0,0 +1,14 @@
|
||||
package robot.hardware;
|
||||
|
||||
import robot.localization.Pose2D;
|
||||
|
||||
public class MockVisionCamera implements VisionCamera {
|
||||
private Pose2D pose = null;
|
||||
private boolean connected = true;
|
||||
|
||||
public Pose2D detectPose() { return pose; }
|
||||
public boolean isConnected() { return connected; }
|
||||
|
||||
public void setPose(Pose2D p) { pose = p; }
|
||||
public void setConnected(boolean c) { connected = c; }
|
||||
}
|
||||
@@ -0,0 +1,35 @@
|
||||
package robot.localization;
|
||||
|
||||
import org.junit.jupiter.api.Test;
|
||||
import static org.junit.jupiter.api.Assertions.*;
|
||||
|
||||
class GridCellTest {
|
||||
@Test
|
||||
void testCellCreation() {
|
||||
GridCell cell = new GridCell(5, 7);
|
||||
assertEquals(5, cell.x);
|
||||
assertEquals(7, cell.y);
|
||||
}
|
||||
|
||||
@Test
|
||||
void testInvalidCell() {
|
||||
assertThrows(IllegalArgumentException.class, () -> new GridCell(-1, 5));
|
||||
assertThrows(IllegalArgumentException.class, () -> new GridCell(5, 12));
|
||||
}
|
||||
|
||||
@Test
|
||||
void testDistance() {
|
||||
GridCell a = new GridCell(0, 0);
|
||||
GridCell b = new GridCell(3, 4);
|
||||
assertEquals(60.0, a.distanceTo(b), 0.001);
|
||||
}
|
||||
|
||||
@Test
|
||||
void testAngle() {
|
||||
GridCell origin = new GridCell(0, 0);
|
||||
GridCell right = new GridCell(1, 0);
|
||||
GridCell up = new GridCell(0, 1);
|
||||
assertEquals(0.0, origin.angleTo(right), 0.001);
|
||||
assertEquals(90.0, origin.angleTo(up), 0.001);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,30 @@
|
||||
package robot.localization;
|
||||
|
||||
import org.junit.jupiter.api.Test;
|
||||
import static org.junit.jupiter.api.Assertions.*;
|
||||
|
||||
class Pose2DTest {
|
||||
@Test
|
||||
void testCreation() {
|
||||
Pose2D pose = new Pose2D(24.0, 36.0, 45.0);
|
||||
assertEquals(24.0, pose.x, 0.001);
|
||||
assertEquals(36.0, pose.y, 0.001);
|
||||
assertEquals(45.0, pose.heading, 0.001);
|
||||
}
|
||||
|
||||
@Test
|
||||
void testNormalization() {
|
||||
Pose2D p1 = new Pose2D(0, 0, 370);
|
||||
assertEquals(10.0, p1.heading, 0.001);
|
||||
|
||||
Pose2D p2 = new Pose2D(0, 0, -190);
|
||||
assertEquals(170.0, p2.heading, 0.001);
|
||||
}
|
||||
|
||||
@Test
|
||||
void testDistance() {
|
||||
Pose2D a = new Pose2D(0, 0, 0);
|
||||
Pose2D b = new Pose2D(3, 4, 0);
|
||||
assertEquals(5.0, a.distanceTo(b), 0.001);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,53 @@
|
||||
package robot.localization;
|
||||
|
||||
import org.junit.jupiter.api.Test;
|
||||
import robot.hardware.*;
|
||||
import static org.junit.jupiter.api.Assertions.*;
|
||||
|
||||
class SensorFusionTest {
|
||||
@Test
|
||||
void testVisionCorrection() {
|
||||
MockEncoder left = new MockEncoder();
|
||||
MockEncoder right = new MockEncoder();
|
||||
MockGyroSensor gyro = new MockGyroSensor();
|
||||
MockVisionCamera camera = new MockVisionCamera();
|
||||
|
||||
OdometryTracker odometry = new OdometryTracker(left, right);
|
||||
ImuLocalizer imu = new ImuLocalizer(gyro);
|
||||
VisionLocalizer vision = new VisionLocalizer(camera);
|
||||
|
||||
RobotLocalizer localizer = new RobotLocalizer(odometry, imu, vision);
|
||||
localizer.setInitialPose(new Pose2D(0, 0, 0));
|
||||
|
||||
camera.setPose(new Pose2D(12, 12, 0));
|
||||
localizer.update();
|
||||
|
||||
Pose2D pose = localizer.getCurrentPose();
|
||||
assertEquals(12.0, pose.x, 0.1);
|
||||
assertEquals(12.0, pose.y, 0.1);
|
||||
}
|
||||
|
||||
@Test
|
||||
void testGracefulDegradation() {
|
||||
MockEncoder left = new MockEncoder();
|
||||
MockEncoder right = new MockEncoder();
|
||||
MockGyroSensor gyro = new MockGyroSensor();
|
||||
MockVisionCamera camera = new MockVisionCamera();
|
||||
|
||||
OdometryTracker odometry = new OdometryTracker(left, right);
|
||||
ImuLocalizer imu = new ImuLocalizer(gyro);
|
||||
VisionLocalizer vision = new VisionLocalizer(camera);
|
||||
|
||||
RobotLocalizer localizer = new RobotLocalizer(odometry, imu, vision);
|
||||
|
||||
assertEquals(1.0, localizer.getConfidence(), 0.01);
|
||||
|
||||
camera.setConnected(false);
|
||||
localizer.update();
|
||||
assertEquals(0.7, localizer.getConfidence(), 0.01);
|
||||
|
||||
gyro.setConnected(false);
|
||||
localizer.update();
|
||||
assertEquals(0.4, localizer.getConfidence(), 0.01);
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user