Adaptive Pipeline Robot Motion Control via Multi-Sensor Fusion
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Solution Overview
Problem
Existing pipeline robots face challenges in accurately perceiving and adapting to complex pipeline environments, such as narrow spaces, bends, slopes, and steps, due to high reflectivity and low texture, leading to inaccurate localization and poor robustness in autonomous inspection and motion control.
Innovation Solution
A dual-swing-arm crawler mechanism equipped with a depth camera, IMU, wheel speed sensor, and TOF modules for environmental perception, using multi-sensor fusion and model predictive control (MPC) to generate adaptive reconfiguration strategies for autonomous inspection in various pipeline scenes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional perception systems are used in pipeline environments, then the system structure remains simple, but the accuracy of perception and localization is degraded due to high reflectivity and low texture of the pipeline environment
Solution Approach 1:
The patent combines multiple perception systems (laser radar, depth camera, visible light camera, IMU) into an integrated multi-sensor fusion system. The laser radar provides accurate depth information independent of surface reflectivity, the depth camera captures 3D spatial structure, the visible light camera provides texture information, and the IMU supplies motion data. These sensors are merged through sensor fusion algorithms to achieve high-precision perception and localization in pipeline environments where conventional single-sensor systems fail.
2Adaptability or versatility
If learning-based and model-based methods are applied to single scenes, then the method complexity remains manageable, but the robustness is degraded when facing various terrain scenes
Solution Approach 1:
The patent implements a dynamic motion control system using Model Predictive Control (MPC) that continuously adapts to changing terrain conditions. The system dynamically adjusts motion parameters including swing arm angles, crawler speeds, and body orientation based on real-time environmental perception. The MPC controller solves optimization problems at each control step to generate adaptive motion commands that accommodate various terrain scenes such as straight pipes, bends, slopes, and steps, transforming the system from static to dynamically adaptable.
Solution Approach 2:
The system changes motion parameters dynamically based on detected terrain features. When the perception system identifies different terrain types (straight pipe, bend, slope, step), the controller adjusts key parameters including swing arm extension lengths, crawler rotation speeds, robot body pitch and yaw angles, and traversal velocity. These parameter changes enable the robot to adapt its motion characteristics to match the specific requirements of each terrain scene, achieving versatile adaptability across diverse pipeline environments.
3Adaptability or versatility
If passive adaptation approach with suspension mechanism is used, then the structure remains simple, but the adaptability is degraded for turning or step-crossing scenes
Solution Approach 1:
The robot's motion system is segmented into multiple independently controllable components: a swing arm mechanism with at least two swing arms that can extend and rotate independently, crawler drive units with independently controllable left and right crawlers, and a movable body section. This segmentation allows each component to be controlled separately to navigate complex terrain. The swing arms can independently adjust to accommodate bends and steps, while independent crawler control enables differential steering for turning maneuvers, achieving high adaptability through modular segmented architecture.
Solution Approach 2:
The patent transforms the static suspension mechanism into a dynamic active adaptation system. The swing arms are equipped with actuators that actively adjust their extension lengths and rotation angles in real-time based on detected terrain conditions. The crawlers actively modulate their rotation speeds and forces dynamically during motion. This dynamic control enables the robot to actively adapt to turning scenes by differential swing arm positioning and to step-crossing scenes by coordinated swing arm extension and body elevation, going beyond passive mechanical adaptation.
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
Enhances the accuracy and robustness of pipeline robot motion control by accurately extracting boundary lines, analyzing passability, and ensuring stable center of gravity, enabling efficient autonomous inspection in diverse pipeline terrains.
Implementation Method 1
three Time-of-Flight (TOF) modules for distance measurement, where the depth camera is installed just in front of the robot, and the three TOF modules are respectively installed on the left and right sides and the top of the robot
Data Source
AI summary
A motion control method for an adaptive self-reconfigurable pipeline robot based on environmental perception includes: acquiring internal images of the pipeline for scene recognition, segmenting planar surfaces and curved surfaces in the images according to recognition results, and extracting boundary lines of the pipeline; calculating a straight-pipe width, a bent-pipe curvature, a slope angle, and a step height to analyze passability of the robot; designing a path planner and a swing-arm planner to generate a reference trajectory and a swing-arm angle sequence of the robot, performing smoothing, and inputting the reference trajectory and the swing-arm angle sequence into a model predictive control (MPC) motion controller; estimating a position and state of the robot through an Error State Kalman Filter (ESKF) algorithm, and inputting estimation results and collision warning signals into the MPC motion controller; and finally outputting a signal for control of a motor and a swing-arm motor.