The present research work mainly concentrates on development of hybrid grippers with the integration of hard and soft components for achieving object manipulation. By combining pneumatic actuation with mechanical fing...
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ISBN:
(数字)9798350379136
ISBN:
(纸本)9798350379143
The present research work mainly concentrates on development of hybrid grippers with the integration of hard and soft components for achieving object manipulation. By combining pneumatic actuation with mechanical fingers, complex geometries can be handled effectively. Pneumatic hybrid gripper fabricated with PLA and silicone rubber offers adaptability and versatility. Resistive sensors over silicone surface of gripper lead to cost-effective force detection and tactile sensing. The proposed gripper was designed and analyzed using Fusion 360 and ANSYS. Inflatable silicone rubber and gripper body were fabricated using liquid casting and Fused Deposited Modelling 3D printing techniques. Real-time feedback sensors were employed with fabricated gripper to get better performance. Testing proves its capability to handle loads up to 500g with a force of 3.3N. Finally, the assembled hybrid gripper offers a versatile solution for robotic manipulation, ensuring stability and minimizing damage across various industries.
This paper presents two robust optimal controllers for Cooperative Manipulators (CoMans) holding an object on the basis of a modified factorization approach. Due to advantages such as: simplicity, flexibility, systema...
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This paper presents the design of a 3D printed mobile differential drive robot with LiDAR and 3D depth sensing. The robot is designed to be low cost and easy to build, making it suitable for educational and research p...
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ISBN:
(数字)9798350372694
ISBN:
(纸本)9798350372700
This paper presents the design of a 3D printed mobile differential drive robot with LiDAR and 3D depth sensing. The robot is designed to be low cost and easy to build, making it suitable for educational and research purposes. All the main structures of the robot are 3D printed while the parts used in the robot are from off-the-shelf components. All the design files and source code used in this project is shared in the github repository. The robot is equipped with a LiDAR sensor for mapping and navigation, and a 3D depth sensing camera for object recognition. Robot Operating System (ROS) running on an Intel single board computer serves as the middleware for all robot control operations. The developed robot is able to run simultaneous localization and mapping (SLAM) and perform autonomous navigation. Design files and the software for the robot can be obtained from the github reposi-tory https://***/dannyngweekiat/3D-Printed-Differential-Drive-Bot.
Tillage of the soil is the most important consideration when it comes to the implementation of agricultural practices. Increases in crop yield has been achieved through a variety of agricultural practices thanks to th...
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Tillage of the soil is the most important consideration when it comes to the implementation of agricultural practices. Increases in crop yield has been achieved through a variety of agricultural practices thanks to the discoveries of various agricultural experts. The planting process is the one that has the greatest impact on the crop's overall health. The hull can be more precisely prepared for the seed-planting trench with the assistance of furrows. A variety of furrow openers are currently undergoing the implantation process. Studying dynamic systems that are discontinuous in nature can be done with the help of discrete element modelling. The simulation of a tine-shaped furrow opener using the EDEM package software was carried out for three different speeds. When the speed of an object increases, so does the force it exerts on it. Additionally, the length of an object has an effect on the force it exerts. Additionally, taken into consideration were the profiles that were generated in the soil. To carry out statistical validation of the results analysis of variation (ANOVA) was done. The results provided a basis for calculating a confidence level of 95%. For the furrow openers, it was suggested that a speed of 0.495 meters per second, which is equivalent to 1.76 kilometers per hour, be used.
Robot-assisted language learning (RALL) is an emerging field of human-robot interaction to support language acquisition and literacy development with a social robot in multi-modal ways. As learning is an inherently so...
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We present an action-driven tactile exploration system using flexible touch sensors integrated into the fingertips of a robot hand. These sensors are made from foams injected with silver nanotubes that exhibit resista...
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The Montessori method is well-known for its child-centered and hands-on learning approach for early literacy development. This study is the first to apply the Montessori method in robot-assisted language learning (RAL...
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This paper studies the perception of robot intelligence for a manipulator that shares its workspace with a human operator, while the two execute independent tasks. Four different motion planning algorithms were employ...
This paper studies the perception of robot intelligence for a manipulator that shares its workspace with a human operator, while the two execute independent tasks. Four different motion planning algorithms were employed to plan the robot motion in four subsequent experimental sets for 48 participants, and the order with which these algorithms were used was changed, obtaining all possible combinations. While guaranteeing safety, each of the four algorithms exhibited a different level of adaptability and reactivity, in terms of real-time motion planning abilities and of speed reduction based on heart rate feedback. We analyzed how perceived intelligence was influenced by the employed algorithm, by the order of execution and by the previous experience of the participants working with robots. In conclusion, perceived intelligence resulted being significantly lower in the first experimental set compared to the following ones, which showed a positive effect of habituation on perceived intelligence. On the other hand, neither the use of different motion planning algorithms nor the previous participants’ experience significantly influenced perceived intelligence.
Soft-growing robots are promising for a variety of applications, such as navigating and inspecting confined and challenging environments. These robots can elongate up to tens of meters and have morphological adaptatio...
Soft-growing robots are promising for a variety of applications, such as navigating and inspecting confined and challenging environments. These robots can elongate up to tens of meters and have morphological adaptation and tip-extension capabilities. However, evaluating their performance across various design aspects or environmental conditions can be difficult due to their long manufacturing times. In this paper, we present a computationally efficient dynamics model derived using the Euler-Lagrange equation for a class of soft-growing robots known as “vine robots.” alongside a PD feedback control with gravity compensation. We have performed simulation experiments to validate both the dynamics model and the PD feedback control. The results of these experiments can provide valuable insights for future model-based feedback control design and simulation-based performance evaluation.
Designing for rapid maintenance requires an approach whereby the replacement of rapidly wearing sub-assemblies can be easily replaced while ensuring that the degree of wear can be tracked in real-time if possible. The...
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