RFID-based indoor mobile robot navigation

Peng, Jiansheng; Qin, Yong; Wei, Qingjin; He, Qiang; Zhen-wu, Wan; Jiang, Hui

doi:10.3233/rft-190176

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…Various similarly used techniques (Abhishek K Kashyap and Pandey, 2018) are discussed here. Peng et al (2019) have used radio frequency identification technology for the indoor navigation of mobile robots. The RFID readers acknowledge the position of the mobile robot and avoid obstacles successfully via a double positioning system for adjusting the navigational parameters in real-time.…”

Section: Introductionmentioning

confidence: 99%

Dynamic walking of multi-humanoid robots using BFGS Quasi-Newton method aided artificial potential field approach for uneven terrain

Kashyap

Parhi

2022

Soft Comput

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The humanoid robot garners paramount interest because of its ability to mimic human-like behavior in realtime environments. In this paper, a hybridized Artificial Potential Field (APF)-Broyden Fletcher Goldfarb Shanno (BFGS) Quasi-Newton technique is being proposed for the trajectory planning of the humanoid robot. The proposed methodology combines the faster local search BFGS Quasi-Newton method with the global search APF method for an efficient and faster-hybridized trajectory planning technique. The humanoid robot herein is being tested in a multi-humanoid working space having uneven surfaces. The data obtained from the sensors concerning the location of obstacles and the target are at first imparted to the APF method, which supplies an intermediate turning angle dependent on the predesigned training model of the APF method. The obtained turning angle is then fed into the BFGS quasi-newton method to produce an optimum turning angle, which inevitably guides the humanoid robots to the target by keeping a minimum safe distance from the obstacles. Multi-humanoid robots are employed in an environment having random static obstacles, with unique targets for them to reach. The proposal of using a multihumanoid system arises the chance of inter-collision among the humanoids. To get rid of this situation, the dining philosophers controller is being implemented. The simulations and experiments are carried using the proposed technique to ratify the efficacy of the proposed technique. The experimental and simulation results yield a suitable acceptance rate under 5 %. In comparison with the previously used navigational technique, it proves to be comfortably skillful and robust for the trajectory planning of the humanoid robot.

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Section: Introductionmentioning

confidence: 99%

Dynamic walking of multi-humanoid robots using BFGS Quasi-Newton method aided artificial potential field approach for uneven terrain

Kashyap

Parhi

2022

Soft Comput

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“…Besides, the GNSS/INS integrated navigation can complete the positioning information of the satellite signal in the interval between the two positioning signals and increase the updated frequency of the GNSS satellite signal. In terms of indoor positioning, existing positioning methods include INS positioning, WI-FI indoor positioning, Ultra Wide Band (UWB) positioning, Radio Frequency Identification (RFID) positioning, and Light Detection and Ranging (LIDAR) Simultaneous Localization And Mapping (SLAM) positioning [2,3]. Among the various positioning methods, WIFI positioning, UWB positioning and other radio frequency wireless signal positioning require the installation of the signal Base Station (BS) in buildings.…”

Section: Introductionmentioning

confidence: 99%

Indoor and Outdoor Low-Cost Seamless Integrated Navigation System Based on the Integration of INS/GNSS/LIDAR System

Guan

Gao

et al. 2020

Remote Sensing

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Global Navigation Satellite System (GNSS) provides accurate positioning data for vehicular navigation in open outdoor environment. In an indoor environment, Light Detection and Ranging (LIDAR) Simultaneous Localization and Mapping (SLAM) establishes a two-dimensional map and provides positioning data. However, LIDAR can only provide relative positioning data and it cannot directly provide the latitude and longitude of the current position. As a consequence, GNSS/Inertial Navigation System (INS) integrated navigation could be employed in outdoors, while the indoors part makes use of INS/LIDAR integrated navigation and the corresponding switching navigation will make the indoor and outdoor positioning consistent. In addition, when the vehicle enters the garage, the GNSS signal will be blurred for a while and then disappeared. Ambiguous GNSS satellite signals will lead to the continuous distortion or overall drift of the positioning trajectory in the indoor condition. Therefore, an INS/LIDAR seamless integrated navigation algorithm and a switching algorithm based on vehicle navigation system are designed. According to the experimental data, the positioning accuracy of the INS/LIDAR navigation algorithm in the simulated environmental experiment is 50% higher than that of the Dead Reckoning (DR) algorithm. Besides, the switching algorithm developed based on the INS/LIDAR integrated navigation algorithm can achieve 80% success rate in navigation mode switching.

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Implementation of intelligent navigational techniques for inter-collision avoidance of multiple humanoid robots in complex environment

Kashyap

Parhi

2022

Applied Soft Computing

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RFID-based indoor mobile robot navigation

Cited by 7 publications

References 11 publications

Dynamic walking of multi-humanoid robots using BFGS Quasi-Newton method aided artificial potential field approach for uneven terrain

Dynamic walking of multi-humanoid robots using BFGS Quasi-Newton method aided artificial potential field approach for uneven terrain

Indoor and Outdoor Low-Cost Seamless Integrated Navigation System Based on the Integration of INS/GNSS/LIDAR System

Implementation of intelligent navigational techniques for inter-collision avoidance of multiple humanoid robots in complex environment

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