We compare the propagation of a Gaussian beam to the beams that carry OAM in moderate and strong underwater optical turbulence created by Rayleigh Bénard convection. Analysis focuses on scintillation index and fr...
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In this paper, we propose a precise LiDAR SLAM in optimization framework using plane-like object as landmark. Compared to general methods, finite plane feature is used to represent landmark and a new residual model is...
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Recent developments in the capabilities of unmanned aerial vehicles (UAVs) have made them suitable for use in various industrial settings. Their ability to access difficult and remote locations, as well as providing r...
Recent developments in the capabilities of unmanned aerial vehicles (UAVs) have made them suitable for use in various industrial settings. Their ability to access difficult and remote locations, as well as providing remote manipulation and visual inspection capabilities, make them valuable for various industrial applications. However, operating UAVs can be challenging, particularly in cluttered environments. This research aims to enhance the teleoperation experience by providing human-meaningful information on the remote user interface, thereby improving the operator’s situational awareness. Shared autonomy routines utilizing the previously collected information are also developed to further assist the operator with challenging control tasks. The proposed system has been tested in simulated environments and on actual hardware.
In this study, a method utilizing a 3D LiDAR(Light Detection and Ranging) sensor for mapping and obstacle detection in autonomous vehicles has been developed. The LiDAR sensor employs laser beams to detect the positio...
In this study, a method utilizing a 3D LiDAR(Light Detection and Ranging) sensor for mapping and obstacle detection in autonomous vehicles has been developed. The LiDAR sensor employs laser beams to detect the positions and distances of surrounding objects. Data from the LiDAR were processed to generate 2D maps from the 3D point cloud. During this process, obstacles within the vehicle's navigable height range, as well as those that wouldn't impede its movement were identified. Using a filtering method, points outside of these obstacles were removed to create a map. In experimental studies, it was observed that the developed method can accurately detect challenging obstacles such as fences made of thin wires. Consequently, it is evident that this method holds the potential to offer more reliable and safe obstacle detection for autonomous vehicles.
This paper provides a detailed mechanical characterization and stress analysis of kirigami sheets across various structural configurations, highlighting their potential applications in soft robotics. The study examine...
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ISBN:
(数字)9798350350302
ISBN:
(纸本)9798350350319
This paper provides a detailed mechanical characterization and stress analysis of kirigami sheets across various structural configurations, highlighting their potential applications in soft robotics. The study examines linear, circular, triangular, and trapezoidal kirigami patterns through finite element simulations, complemented by experimental validation. Deformation parameters are systematically applied to both single and multiple units of kirigami sheets to assess their capacity for mechanical elongation and load sustainability. Additionally, friction analyses are discussed via simulation to explore the anchoring effects of these kirigami structures when applied to soft robots. The results of this study enhance our understanding of the mechanical properties of kirigami structures and their practical implications for soft robotics design.
This study presents a novel approach for testing visual servoing on 3 DOF UAVs (Unmanned aerial vehicles) in an indoor environment with no GPS by employing a combination of a physical 3 DOF and simulating the rest of ...
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ISBN:
(数字)9798350394085
ISBN:
(纸本)9798350394092
This study presents a novel approach for testing visual servoing on 3 DOF UAVs (Unmanned aerial vehicles) in an indoor environment with no GPS by employing a combination of a physical 3 DOF and simulating the rest of degrees, 2 D markers are used to store instructions to previously known coordinates in the environment. Low-cost UAV hardware with an onboard camera can extract the task information from such markers without needing a ground station computer and continuous marker detection to follow a particular desired trajectory. Such a goal is achieved through the presence of markers, such as QR (Quick Response) codes, at selected locations, controlling the UAV motion to read and extract the stored information in the code, and controlling various states of UAV to fulfill the desired motion of moving through the site. This solution combines simulation and physical testing such that final algorithm can be applied on 6 DOF UAVs for asset monitoring and inspection in indoor environments, and non-experts can modify the vehicle’s path by providing the QR codes. Experimental results for the centering of UAV for accurate QR code reading using PID (Proportional-Integral-Derivative) controller and LQR (Linear Quadratic Regulator) algorithm for attitude control are tested on Quanser’s 3DOF hover quadcopter in LabVIEW environment. Furthermore, hardware-in-the-loop simulation tests are performed to simulate the control of the linear motion of the UAV. The results achieved so far are promising and give ample encouragement to test and evaluate the technique on a 6-DOF UAV.
We estimate the phase of laser beams using the Gerchberg-Saxton algorithm after propagation through experimental and simulated optical turbulence. Synchronous pupil-plane and focal-plane intensities of Gaussian and La...
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Dead reckoning estimates the current position, speed, and direction of moving objects using known position information. Localization determines an object's location on the map, categorized into human and vehicle l...
Dead reckoning estimates the current position, speed, and direction of moving objects using known position information. Localization determines an object's location on the map, categorized into human and vehicle localization. Autonomous vehicles rely on accurate vehicle localization for effective task execution. While Global Navigation Satellite System (GNSS) is a popular method, weak or absent signals can pose challenges. This study utilizes Inertial Measurement Unit (IMU) sensors for localization, integrating a second IMU to enhance accuracy. Fusing data from two IMU sensors, a dead reckoning system achieves 1.02 degrees and 1.41 meters errors in rotation and translation with a single IMU, and 1.01 degrees and 1.04 meters with two IMUs, respectively.
Across industries, ROBOTS are frequently utilized. A significant part of the numerous uses of robotics and many countries deciding that whether it’s possible to give identity to the anthropomorphic robots. Different ...
Across industries, ROBOTS are frequently utilized. A significant part of the numerous uses of robotics and many countries deciding that whether it’s possible to give identity to the anthropomorphic robots. Different industries hospitals are using the robots. The robots are not limited to these two applications even different sectors are using the different robots according to their needs. Mostly robots are performing the tasks which are difficult for human being. The basic robotic arms, known as three link manipulators, are still in use in micro-to-macro applications, such as chip production. In the field of robotics, robotic instrumentation is essential because without sensors, actuators, and detectors, robots cannot interact with their surroundings. In this paper soft computing also discussed in detail. In this paper the disturbance occur in the closed loop also being discussed. There have been tests, comparisons, and simulations *** doesn’t have to be an expert in the system. Even in cases when the population is quite big, the evolutionary process converges too soon. The robotic arm reaches the desired location within the simulated time, demonstrating good performance. Since the evolution function thoroughly tests all potential input spaces, the performance is ideal across the board. Soft computing help in trajectory planning and obstacle avoidance has been discussed in detail. The role of hybrid techniques also discussed. The dynamic nature of the robot also been discussed in detail in this paper. The paper has been sub parted in 9 parts and the modelling of the 2,3, and 5 DOF robots has been discussed din detail.
We experimentally record intensity of laser light at the pupil and focal planes after propagation through underwater optical turbulence. We study the temporal and spatial properties of intensity correlations and angle...
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