Robot Vacuum Tip-Over & Orientation Detection | Abnormal Tilt Application Guide

ONCQUE RESOURCE CENTER
APPLICATION GUIDE 09
Robot Vacuum Orientation & Rollover
Detection Application Guide
Rollover Detection × Abnormal Orientation × Smart Appliances
Learn how robot vacuums use orientation and tilt signals to identify rollover, entrapment, or abnormal tilt as supporting conditions for shutdown, alerts, and fault recovery.
Rollover Detection Abnormal Tilt Orientation Detection Smart Appliances
01

Abnormal Robot Vacuum Orientation Differs from Typical Tip-Over

During normal operation, robot vacuums cross carpets, thresholds, and slopes, creating continuous small-angle orientation changes. The sensing design should distinguish between normal obstacle crossing and rollover or large-angle entrapment.

Key point: Small-angle changes caused by normal obstacle crossing should not be directly classified as rollover faults.
02

Tilt Signals Can Support Abnormal-State Detection

When the robot is lifted, flipped over, or stuck at a large angle, orientation sensing can be combined with wheel speed, cliff sensors, and motor current information to improve abnormal-state detection.

Orientation signals can be cross-checked with wheel speed, cliff sensing, and motor current to reduce false detections.
03

System Flow

STEP 1Normal Cleaning
STEP 2Obstacle Crossing / Abnormal Tilt
STEP 3Orientation Detection
STEP 4Cross-Check with Other Sensors
STEP 5Stop / Alert
04

Recommended Sensing Solutions

If the requirement is only to confirm whether the robot has entered a large-angle rollover state, a fixed-angle tilt switch can be considered. If navigation attitude, slope, and detailed motion information are required, continuous sensors such as an IMU should be used.

Large-Angle State Detection

Fixed-Angle Tilt Switch

Suitable for confirming whether a large-angle rollover state has occurred, providing a simple and clear ON / OFF status output.

Continuous Orientation Data

IMU / Accelerometer

Suitable for continuous measurement of navigation attitude, slope, and detailed motion information.

Reduce False Detection

Multi-Signal Cross-Checking

Cross-check orientation data with wheel speed, cliff sensing, motor current, and other signals to improve abnormal-state detection reliability.

05

Key Design Considerations

  • Normal obstacle-crossing angles must remain below the abnormal trigger range.
  • The robot contains motors, fans, and impact events, so vibration validation is required.
  • Cross-checking with wheel speed, cliff sensing, motor current, and other signals is recommended.
  • The sensor should be mounted on a fixed PCB reference and overall assembly tolerances should be considered.
06

Selection / Sensing Direction

Application Requirement Recommended Direction
Detect large-angle rollover Fixed-angle tilt sensing
Need navigation and slope information IMU / Accelerometer
Reduce false detection Orientation + wheel speed / cliff sensing / current cross-checking
07

Suitable Applications

Robot Vacuum
Robot Vacuum
Service Robot
Service Robot
Compact AGV Equipment
Compact AGV Equipment
Smart Mobile Device
Smart Mobile Device

Need Help Evaluating a Robot Tilt-Sensing Solution?

Provide the robot's normal obstacle-crossing angle, rollover conditions, and existing sensing architecture, and OncQue can help evaluate a suitable tilt-sensing solution.

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