The majority of commercial and open-source autopilot software for uncrewed aerial vehicles rely on the tried and tested extended Kalman filter (EKF) to provide the state estimation solution for the inertial navigation...
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ISBN:
(数字)9798350384574
ISBN:
(纸本)9798350384581
The majority of commercial and open-source autopilot software for uncrewed aerial vehicles rely on the tried and tested extended Kalman filter (EKF) to provide the state estimation solution for the inertial navigation system (INS). While modern implementations achieve remarkable robustness, it is often due to the careful implementation of exception code for a multitude of corner cases along with significant skilled tuning effort. In this paper, we use the data wealth of the ArduPilot community to identify and highlight the most common real-world challenges in INS state estimation, including sensor self-calibration, robustness in static conditions, global navigation satellite system (GNSS) outliers and shifts, and robustness to faulty inertial measurement units (IMUs). We propose a novel equivariant filter (EqF) formulation for the INS solution that exploits a Semi-Direct-Bias symmetry group for multi-sensor fusion with self-calibration capabilities and incorporates equivariant velocity-type measurements. We augment the filter with a simple innovation-covariance inflation strategy that seamlessly handles GNSS outliers and shifts without requiring coding of a whole set of exception cases. We use real-world data from the Ardupilot community to demonstrate the performance of the proposed filter on known cases where existing filters fail without careful exception handling or case-specific tuning and benchmark against the ArduPilot’s EKF3, the most sophisticated EKF implementation currently available.
This letter proposes a new approach for Inertial Measurement Unit (IMU) preintegration, a fundamental building block that can be leveraged in different optimization-based Inertial Navigation system (INS) localization ...
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This letter re-visits the problem of visual-inertial navigation system (VINS) and presents a novel filter design we dub the multi state constraint equivariant filter (MSCEqF, in analogy to the well known MSCKF). We de...
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This paper investigates the problem of inertial navigation system (INS) filter design through the lens of symmetry. The extended Kalman filter (EKF) and its variants, have been the staple of INS filtering for 50 years...
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Inertial Navigation systems (INS) are a key technology for autonomous vehicles applications. Recent advances in estimation and filter design for the INS problem have exploited geometry and symmetry to overcome limitat...
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Stochastic filters for on-line state estimation are a core technology for autonomous systems. The performance of such filters is one of the key limiting factors to a system’s capability. Both asymptotic behavior (e.g...
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作者：
LIU, MHDepartment of Control Engineering
Control System Theory and Robotics Group Technical University of Darmstadt Landgraf-Georg-Str. 4 64283 Darmstadt Germany
In this paper a three-step active deburring strategy is proposed based on fuzzy logic and force feedback control. A strategy for automatic contour following is developed to identify unknown workpiece contours, to auto...
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In this paper a three-step active deburring strategy is proposed based on fuzzy logic and force feedback control. A strategy for automatic contour following is developed to identify unknown workpiece contours, to automatically generate desired robot motions, and to detect unknown burr sizes and positional inaccuracies. Under the deburring strategy the robot motion and force control are planned actively according to the detected burr sizes and positional inaccuracies. A fuzzy man-machine interface is built to make use of the knowledge of human operators to simplify the burr detection. A fuzzy model of the deburring process is developed to support the planning of deburring procedures. Implementation of and experiments with the proposed strategies are described.
Some applications of the fuzzy logic in the automated robotic deburring are described. Main motivations for these applications are (1) the unpredictability of positional inaccuracies and variations of buff sizes, whic...
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Some applications of the fuzzy logic in the automated robotic deburring are described. Main motivations for these applications are (1) the unpredictability of positional inaccuracies and variations of buff sizes, which are difficult to measure;and (2) the nonlinear and complex behaviour of the deburring process. For a passive deburring strategy the fuzzy logic is used to supervise positional inaccuracies, to directly process disturbed force/torque measurements to avoid time delays, and to adjust controller parameters according to working conditions. For an active deburring strategy a fuzzy man-machine interface is built to take the advantage of utilizing operator's knowledges about buff characteristics, and a fuzzy modeling algorithm is developed to get the input-output relationship of, and to extract qualitative understanding about the deburring process. Some experimental results are presented.
This paper describes a solution for the general problem of handling a multiple-bent profile of sheet metal in the constrained environment of a bending machine. The handling device is a robot feeding the machine and ha...
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This paper describes a solution for the general problem of handling a multiple-bent profile of sheet metal in the constrained environment of a bending machine. The handling device is a robot feeding the machine and handling the sheet metal in between the bending operations. A new planning approach for a multiple-bent profile handling which is based on the configuration space and a potential function is presented. Special heuristics for the multiple-bent profile are applied and accelerate the motion planning process by recognition of the critical part of the profile and its orientation and position relative to the bending machine. This approach assists the sheet metal part planner to plan in advance the handling operations and to confirm if the robot can perform the handling or not. Two examples of handling multiple-bent profiles inside a bending machine are described and demonstrate the overall approach by a simulation.
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