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An approach to robust INS/UWB integrated positioning for autonomous indoor mobile robots
J Liu, J Pu, L Sun, Z He - Sensors, 2019 - mdpi.com
The key to successful positioning of autonomous mobile robots in complicated indoor
environments lies in the strong anti-interference of the positioning system and accurate …
environments lies in the strong anti-interference of the positioning system and accurate …
[HTML][HTML] An augmented reality based human-robot interaction interface using Kalman filter sensor fusion
In this paper, the application of Augmented Reality (AR) for the control and adjustment of
robots has been developed, with the aim of making interaction and adjustment of robots …
robots has been developed, with the aim of making interaction and adjustment of robots …
Enhancing the reliability of shipborne INS/GNSS integrated navigation system during abnormal sampling periods using Bi-LSTM and robust CKF
Z Zhang, Y Li, Z Liu, S Wang, H ** a reliable navigation system is a crucial challenge for intelligent ships.
Integrating Inertial Navigation Systems (INS) with shipborne Global Navigation Satellite …
Integrating Inertial Navigation Systems (INS) with shipborne Global Navigation Satellite …
Variational Bayesian adaptive Kalman filter for asynchronous multirate multi-sensor integrated navigation system
This study considers an asynchronous multirate data integration problem in the linear state
space model with unknown and time-varying statistical parameters of the measurement …
space model with unknown and time-varying statistical parameters of the measurement …
Adaptive Kalman filtering by covariance sampling
It is well known that the performance of the Kalman filter deteriorates when the system noise
statistics are not available a priori. In particular, the adjustment of measurement noise …
statistics are not available a priori. In particular, the adjustment of measurement noise …
An INS-aided MASS autonomous navigation algorithm considering virtual motion constraints and the leeway and drift angle
Z Zhang, Y Li, P Wu, Z Liu, J ** MASS or
intelligent ships. This study proposes an autonomous navigation algorithm with INS-aided …
intelligent ships. This study proposes an autonomous navigation algorithm with INS-aided …
Real-time outlier detection applied to a Doppler velocity log sensor based on hybrid autoencoder and recurrent neural network
This article presents a real-time outlier detection deep-learning (OD-DL)-based method
using a hybridized artificial neural network (ANN) approach. We propose an unsupervised …
using a hybridized artificial neural network (ANN) approach. We propose an unsupervised …
Teleoperation control of Baxter robot using Kalman filter-based sensor fusion
Kalman filter has been successfully applied to fuse the motion capture data collected from
Kinect sensor and a pair of MYO armbands to teleoperate a robot. A new strategy utilizing …
Kinect sensor and a pair of MYO armbands to teleoperate a robot. A new strategy utilizing …
A novel intelligent adaptive Kalman Filter for estimating the Submarine's velocity: With experimental evaluation
In this paper, an intelligent adaptive algorithm based on the integrated Inertial Navigation
System (INS) is presented for estimating the velocity of an Autonomous Underwater Vehicle …
System (INS) is presented for estimating the velocity of an Autonomous Underwater Vehicle …
An incremental learning framework to enhance teaching by demonstration based on multimodal sensor fusion
Though a robot can reproduce the demonstration trajectory from a human demonstrator by
teleoperation, there is a certain error between the reproduced trajectory and the desired …
teleoperation, there is a certain error between the reproduced trajectory and the desired …