Steady-state visual evoked potential (SSVEP) is a brain response to flickering visual stimuli in the occipital area. SSVEP detection methods usually utilize multichannel configurations, which can be intricate and unco...
详细信息
The increasing amount of sea garbage proving to be a huge problem not only for marine life but also causing a tremendous number of troubles to humans living along the coastlines. Especially Japan, that is surrounded b...
The increasing amount of sea garbage proving to be a huge problem not only for marine life but also causing a tremendous number of troubles to humans living along the coastlines. Especially Japan, that is surrounded by the ocean which has a long coastline that spans thousands of kilometers, and this provides ample opportunities for marine debris to accumulate. This paper proposes a 3D mapping system utilizing the semantic information from the RGBD sensor extracted from a specifically trained state-of-art deep learning neural network to merge with the spatial information from the LiDAR sensor using Max Fusion Technique. This paper also aims to contribute to the implementation of deep learning and autonomous driving in beach cleaning-related robots and spark interest and raise awareness of the public in beach clean-up activities. It is also shown that the proposed system can achieve a mean accuracy of 98% approximately with the uniquely trained deep learning model.
Soft robotics is a rapidly growing fields in the past decade. Despite its compliant nature and low weight, which is suitable for human interaction applications, still suffering from the low-speed actuation compared to...
详细信息
ISBN:
(数字)9798350350302
ISBN:
(纸本)9798350350319
Soft robotics is a rapidly growing fields in the past decade. Despite its compliant nature and low weight, which is suitable for human interaction applications, still suffering from the low-speed actuation compared to the rigid actuators. In this paper, a 3D printed modified pinch valve is presented to control a pneumatic artificial muscle. This valve can provide high flow rate which can increase the pneumatic muscles actuation speed. 3D printed artificial muscle is used to validate the controllability of the valve. The muscle frequency increased from 0.1 Hz to reach 3.5 Hz. A chain of five muscles is controlled and reach 1.5 Hz.
This paper introduces a novel modular design paradigm for Scientific CanSats, offering a cost-effective platform for testing space-related hardware in near-space environments with reduced developmental timelines. By h...
This paper introduces a novel modular design paradigm for Scientific CanSats, offering a cost-effective platform for testing space-related hardware in near-space environments with reduced developmental timelines. By harnessing Commercial Off The Shelf (COTS) products alongside open-source technologies, this framework emphasizes quick integration of diverse scientific instruments and control systems. The core architectural elements comprise: (1) a unified power and communication bus, (2) standardized mechanical attachments and interfaces, and (3) distributed computing and data management. To validate the effectiveness and adaptability of this design, undergraduate students were engaged to design modules adhering to the established standards. This approach facilitated the creation of an adaptable ecosystem of Command and Sensor Modules, enabling swift assembly and reconfiguration of CanSats with diverse scientific potentials. Remarkably, students transitioned from conceptual design to tangible modules within a semester, while CanSat assembly and reconfiguration from existing modules took five and four minutes respectively.
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...
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 resistance changes under pressure to enable tactile perception. A microcontroller-based unit captures the resistance, with communication deployed using the Robot Operating System. Our approach is evaluated in tactile object exploration, where robotic finger movements estimate the coordinates of the points of contact upon collisions with an object. Through repeated grasps, a point cloud of the shape of an object is generated. Distinct finger movements, or affordances, are developed to collect new contact points to discriminate four different shapes, including cube, cylinder, pyramid, and sphere. We benchmark our approach on medium and large sets of objects.
This study explores the use of minimal surfaces in enhancing the acoustic properties of architectural structures. It specifically focuses on analyzing the sound scattering coefficient to understand how these surfaces ...
详细信息
This paper employs a deep learning approach to enhance the task space control of soft continuum robots. We built an approximate data-driven dynamics model of a soft robot using sampled Cartesian positions of the robot...
详细信息
ISBN:
(数字)9798331516239
ISBN:
(纸本)9798331516246
This paper employs a deep learning approach to enhance the task space control of soft continuum robots. We built an approximate data-driven dynamics model of a soft robot using sampled Cartesian positions of the robot’s tip and its actuator tensions. We then incorporated this surrogate model into a Model Predictive Control (MPC) control scheme, enabling nonlinear control for task space trajectory tracking without relying on an exact analytical dynamics model of the robot or extensive computations. By involving constraints into the MPC, we addressed the robot’s workspace and actuation limits. The numerical results of the simulation experiment show that deep learning dynamic models can improve robotic control. This leads to accurate trajectory tracking and suggests that deep learning could be used more in robot system control, especially for real-time control applications.
The irrigation systems in nurseries can be the cause of various water supply errors- ranging from lack of sufficient water supply to over-watering and imbalance in the water pH levels. Based on the statistics recorded...
The irrigation systems in nurseries can be the cause of various water supply errors- ranging from lack of sufficient water supply to over-watering and imbalance in the water pH levels. Based on the statistics recorded by the department of agriculture and farmers welfare, we have conducted we concluded that the water supply management and plant life maintenance are the major problems. Considering all these real-time errors, we have designed a smart irrigation robot functioning on the inputs from a group of soil moisture sensors which helps eliminate the monotonous task of monitoring and keeping records of the change in soil moisture.
Extensible Soft Robots (ESRs) have increasingly attracted attention, especially in tight and complex environments, owing to their dexterity, and wide reachable workspaces relative to their volume. The existing actuati...
Extensible Soft Robots (ESRs) have increasingly attracted attention, especially in tight and complex environments, owing to their dexterity, and wide reachable workspaces relative to their volume. The existing actuation methods of ESR still suffer from challenges including large dimensions, expensive, complex modeling and control, and limited payload capacity. In this paper, we introduce a novel design for a lightweight, extensible and variable stiffness soft robot-based cable-driven actuation without backbone. The design composes of one section with three segments based on semi-octagon honeycomb structure, wherein the middle segment acts like a soft spring to provide extension feature. Additionally, the top and bottom segments have identical structure with two honeycomb patterns embedded within each other to improve the stiffness of the design. A design analysis is conducted to optimize the proposed structure with respect to stress and displacement. Additionally, a shape estimation approach is utilized to get accurate inference of the prototype’s shape based on data acquired from a low-cost Inertial Measurement Unit (IMU) and Motion Capture System (MCS), and constant curvature assumption. A series of experiments including workspace reach-ability, repeatability, shape approximation and payload analysis are carried out to validate the proposed design. The results show that the prototype exhibits good compression/extension ratio up to 42% and 50% relative to its normal length, respectively. Moreover, its payload capability reaches to 565 grams.
The purpose of this study is to examine the inter-action of a magnetic system with that of an elastic 3D print design to replicate a muscle in contraction expanding back to its original relaxed state. An electromagnet...
详细信息
ISBN:
(纸本)9781665461986
The purpose of this study is to examine the inter-action of a magnetic system with that of an elastic 3D print design to replicate a muscle in contraction expanding back to its original relaxed state. An electromagnetic system uses a design made of soft material to maintain a compression length when an electric current is applied. When the current is removed, the system expands back to its original length due to the geometry and elastic properties of the material. Preliminary experiments on differing magnets help establish a separation distance between the magnets within the design. Mathematical models then further detailed the design using the cross-sectional area, length, and angle between supports to estimate deflection. This design was then tested using nonlinear simulations to displace the component at a distance equivalent to the estimated distance given from the calculations. The reaction force was then compared to the force in the calculations to estimate the percent difference. Once decent results were obtained, a model was 3D printed and tested to verify the findings. The secondary goals of this endeavor are to utilize common materials, reduce the complexity of production, and limit the number of components within the system to reduce failure points along with an estimated lower cost for the overall apparatus.
暂无评论