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This paper presents the design and fabrication process of a soft-bodied gripper with integrated curvature sensors for shape control. The soft gripper contains three identical fingers based on the principle of fluid elastomer actuator. Each of the finger is made of silicon rubber, named Dragon Skin, and is connected to a robotic arm by a snap-lock mechanism. Grasping ability of the soft-bodied gripper...
Many people are expecting for robots to support home work. However, in order to actually do such work, it is necessary for the robot to acquire the complex functions of human hands. Therefore, we developed a humanoid type hand that can be used for humanoid robot and prosthetic hand, and verified various actions of daily life to prove its function. As a result, this robot hand could grab eggs and vegetables,...
This paper presented a new design for underactuated robotic hand which has four grasping modes for objects. The robotic hand has three fingers. The underactuated mechanism of thumb is composed of gear-rack structure and the other two fingers work as a 2DOF gripper. The robotic hand can form both opening and closing motions with one motor. There is another motor which can control the distance between...
Recent statistics show that more than 10 million people in the world suffer amputation. Most of these people also have depression because of losing their hand, arm and leg movements. With current technology it is possible to give these people hands, arms and legs. Our aim is to give these people a chance to live. In this study we have designed a robotic hand in order to grasp objects. Grid based feature...
Identifying an object of interest, grasping it, and handing it over are key capabilities of collaborative robots. In this context we propose a fast, supervised learning framework for learning associations between human hand gestures and the intended robotic manipulation actions. This framework enables the robot to learn associations on the fly while performing a task with the user. We consider a domestic...
This paper describes a hanging work, which is one of the work related to cloth products. By using deformability and stretchability of clothes successfully, it is possible to efficiently proceed with a hanging work. We focus on cloth wrinkles and superimposed relation of objects, and propose a method to recognize the progress of hanging work on-line. In a detection processing of wrinkles, after using...
In this paper, a solution for pruning tree branches close to electric power lines using a hexarotor helicopter equipped with a circular saw and a robotic gripper is proposed. The solution consists of flying to the target, in this case the branch to be pruned, fix the helicopter to it and finally, prune the tree branch with a circular saw. In this first approach, we propose a novel skew-gripper design...
We report on a novel low-computation object grasping method that can classify complex objects into primitive shapes and then select the object grasping posture based on predefined grasping postures associated with the approximated primitive shapes. In this approach, the object is not precisely modeled, and the grasping posture is selected from a small number of candidates without massive search; thus,...
Early plant disease detection and treatment could dramatically increase crop yield. However, even experts cannot visually distinguish various diseases with certainty, limiting image based diagnosis. In this paper, we present a novel small unmanned aircraft system (sUAS) for phytobiopsy. This platform can remove a leaf section with visual symptoms and transport it to a lab for precise disease analysis...
This paper presents a wearable soft pneumatic glove able to improve the grasping power of human hand. Using the known fabrication methods, the soft bodies are manufactured paper and they are inflated to make their flexion movements by supplying the controlled pneumatic pressure. Ultimately, their movement make the motions of fingers and thumb to strengthen the grasping power. It is expected that the...
This paper solves the problem of computing the best grasp in a discrete point set based on a popular grasp quality measure, namely the largest origin-centered ball contained in the grasp wrench set. So far, the solution to this problem is very limited. Noticing that the quality measure for a grasp is equal to the minimum value of the support function of its grasp wrench set over all directions and...
Grasping an object in the presence of unpredictable disturbances and with no previous knowledge of the geometry and mass distribution of it represents a significant challenge in Robotics. Also, grasping an object with sufficient force to prevent slippage, whilst not damaging or deforming the shape of the object proves to be still an intricate challenge despite the existence of a huge body of literature...
In this work, we propose a method to compute the stiffness of flexible joints and its realization in order to let the fingers track a certain predefined trajectory. We refer to tendon-driven, underactuated and passively compliant hands composed of deformable joints and rigid links. Specific stiffness and pre-form shapes can be assigned to the finger joints can be given s such that a single-cable actuation...
This paper addresses the problem of grasping unknown objects with a humanoid robot. Conventional approaches fail when the shape, dimension or pose of the objects are missing. We propose a novel approach in which the grasping problem is solved by modeling the object and the volume graspable by the hand with superquadric functions. The object model is computed in real-time using stereo vision. Pose...
This paper introduces the SCCA Hand, a five motor robot hand developed using a minimalist design approach that focused on grasping abilities in real-world environments. Notable features include a novel bidirectional tendon underactuated finger design that biases actuator force toward finger flexion, an additive manufactured monocoque steel construction that enabled enhanced feature density and a low...
We consider the problem of grasping concave objects, i.e., objects whose surface includes regions with negative curvature. When a multifingered hand is used to restrain these objects, these areas can be advantageously used to determine grasps capable of more robustly resisting to external disturbance wrenches. We propose a new grasp quality metric specifically suited for this case, and we use it to...
In general, robot grasping approaches are based on the usage of multi-finger grippers. However, when large size objects need to be manipulated vacuum grippers are preferred, instead of finger based grippers. This paper aims to estimate the best picking place for a two suction cups vacuum gripper, when planar objects with an unknown size and geometry are considered. The approach is based on the estimation...
This paper demonstrates manipulation, workspace and dimensional synthesis process of a novel gripper named Dexclar (DEXterous reConfigurable moduLAR), which is capable to manipulate plurality of object. The aim to develop such gripper is to address some current industrial issues particularly the rising in-hand manipulation problem. Operations like twisting, flipping, altering orientation of an object,...
In this paper, we proposed a 3D printed soft robot gripper with modular design for lunch box packing. The gripper consists of a rigid base and three soft fingers. A snap-lock mechanism was designed for easy attach-detach assembly of the gripper without using screws. All components were 3D printed and the soft finger structure is based on the principle of fluidic elastomer actuator. Three finger designs,...
Reducing the grasp candidates for unknown object grasping while maintaining grasp stability is the goal of this paper. In this paper, we propose an efficient and straight forward unknown object grasping method by using concavities of the unknown objects to significantly reduce the grasp candidates. Shortest path concavity is first employed to work out the concavity value for every vertex of the unknown...
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