Mobile Robot Self-Righting Mechanism and Navigation
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Solution Overview
Problem
Small mobile robots face challenges in climbing obstacles larger than themselves due to center of gravity issues and require advanced sensor systems for navigation and inspection tasks, especially in environments with varying terrain and communication disruptions.
Innovation Solution
The development of a semi-autonomous mobile robot system that includes a navigation unit with GPS, inertial measurement, and self-righting capabilities, allowing the robot to determine its position and orientation, and execute maneuvers like retro-traverse and heading hold, even during communication losses, using a combination of gyro data, odometry, and Kalman filters to maintain stability and navigate effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the robot size is reduced for portability, then ease of operation improves, but climbing ability deteriorates due to center of gravity issues
Solution Approach 1:
The patent applies counterweight principles by positioning heavy components (battery, motor, control electronics) in the lower portion of the robot body, creating a downward force that stabilizes the robot during climbing operations. This lower center of gravity configuration prevents the robot from tipping forward when ascending stairs or obstacles, directly resolving the climbing ability issue while maintaining compact dimensions for portability.
2Measurement precision
If the robot is equipped with advanced sensor systems for navigation, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent combines multiple navigation functions into an integrated navigation unit that merges GPS reception, inertial measurement (accelerometer and gyro), and odometry processing into a single coordinated system. This integration allows the robot to maintain high navigation accuracy through sensor fusion while reducing overall system complexity by eliminating separate dedicated units for each function, sharing common processing and power resources.
Solution Approach 2:
The navigation unit serves multiple functions simultaneously: it provides position tracking via GPS, orientation measurement via inertial sensors, distance measurement via odometry, and self-righting capability. This multi-functionality reduces the need for separate specialized systems, thereby maintaining measurement precision while controlling device complexity.
3Productivity
If the robot operates autonomously in remote areas, then productivity improves, but loss of information increases due to communication disruptions
Solution Approach 1:
The robot performs preliminary actions by continuously recording navigation data, terrain information, and operational status in its memory before communication is lost. When GPS signal is available, it pre-processes and stores position and path information. This preliminary data collection ensures that even if communication is subsequently disrupted, the robot retains critical information for autonomous navigation and can resume communication later without complete information loss.
Solution Approach 2:
The robot implements feedback mechanisms where navigation data is continuously monitored and stored, and operational status is tracked. This feedback system ensures that even during communication blackouts, the robot maintains awareness of its position and state, preventing information loss by constantly updating its internal model of the environment and its own status.
4Stability of the object's composition
If the robot executes complex self-righting maneuvers, then stability improves, but use of energy increases
Solution Approach 1:
The robot applies partial action by using only the minimum necessary corrective movements to achieve stabilization. Rather than performing full 360-degree rotations or excessive counterbalancing maneuvers, the system executes just enough motor action to correct the tilt and restore stable positioning. This approach maintains robot stability while minimizing energy consumption by avoiding unnecessary motion.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the robot to autonomously navigate and regain communication, maintain stability on uneven terrain, and perform self-righting maneuvers, enhancing its ability to climb obstacles and operate effectively in diverse environments with reduced human intervention.
Implementation Method 1
an inertial measurement unit (IMU) 550 that provides data signals corresponding to robot 100 orientation and motion
Implementation Method 2
determining a three-dimensional gravity vector of the robot
Implementation Method 3
a Kalman filter to determine a three-dimensional gravity vector of the robot
Data Source
AI summary
A method of operating a mobile robot includes driving the robot according to a drive command issued by a remote operator control unit in communication with the robot, determining a driven path from an origin, and after experiencing a loss of communications with the operator control unit, determining an orientation of the robot. The method further includes executing a self-righting maneuver when the robot is oriented upside down. The self-righting maneuver includes rotating an appendage of the robot from a stowed position alongside a main body of the robot downward and away from the main body, raising and supporting the main body on the appendage, and then further rotating the appendage to drive the upright main body past a vertical position, causing the robot to fall over and thereby invert the main body.