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.
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.
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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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...
To simultaneously suppress the periodic and aperiodic disturbances experienced by permanent magnet synchronous motors in model predictive control, a model-free predictive current control with adaptive resonance contro...
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Robotic devices are increasingly studied for the rehabilitation purposes of the lower limb disabilities. Wearable assistive devices such as exoskeletons have been recognized as a practical solution to increase the pow...
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ISBN:
(纸本)9781665454537
Robotic devices are increasingly studied for the rehabilitation purposes of the lower limb disabilities. Wearable assistive devices such as exoskeletons have been recognized as a practical solution to increase the power and maneuverability of human beings in industries, as well as rehabilitation, elderly care, and sports exercises. RoboWalk is a lower limb assistive device that has been designed in ARAS lab at KNTU. To guarantee its proper performance, a Test-Stand is designed and manufactured with extended toolkit options. To validate the simulation results of various scenarios, is the main goal of developing this Test-Stand. Also, to examine the electronics boards and subsystems, the correct interaction between the sensors and the actuators, and investigate the performance of the main control loop, and so on, the Test-Stand is highly useful. In this paper, these various aspects of design and manufacturing of RoboWalk test stand are presented. Stress analyses in SOLIDWORKS software showed that the design of the proposed device is capable to handle the required tasks. Finally, a positioning task is implemented, which reveals the merits of the designed Test_Stand.
We introduce a novel framework of continuous-time ultra-wideband-inertial sensor fusion for online motion estimation. Quaternion-based cubic cumulative B-splines are exploited for parameterizing motion states continuo...
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This research presents a novel approach for autonomous navigation of Unmanned Ground Vehicles (UGV) using a camera and LiDAR sensor fusion system. The proposed method is designed to achieve a high rate of obstacle det...
This research presents a novel approach for autonomous navigation of Unmanned Ground Vehicles (UGV) using a camera and LiDAR sensor fusion system. The proposed method is designed to achieve a high rate of obstacle detection, distance estimation, and obstacle avoidance. In order to thoroughly study the form of things and decrease the problem of object occlusion, which frequently happens in camera-based object recognition, the 3D point cloud received from the LiDAR depth sensors is used. The proposed camera and LiDAR sensor fusion design balance the benefits and drawbacks of the two sensors to produce a detection system that is more reliable than others. The UGV's autonomous navigation system is then provided with the region proposal to re-plan its route and navigate appropriately. The experiments were conducted on a UGV system with high obstacle avoidance and fully autonomous navigation capabilities. The outcomes demonstrate that the suggested technique can successfully maneuver the UGV and detect impediments in actual situations.
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