Human fingers exhibit remarkable dexterity and adaptability through a combination of structures with varying stiffness levels, ranging from soft tissues (low stiffness) to tendons and cartilage (medium stiffness) to b...
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ISBN:
(数字)9798331520205
ISBN:
(纸本)9798331520212
Human fingers exhibit remarkable dexterity and adaptability through a combination of structures with varying stiffness levels, ranging from soft tissues (low stiffness) to tendons and cartilage (medium stiffness) to bones (high stiffness). This paper focuses on the development of a robotic finger that emulates these multi-stiffness characteristics. Specifically, we propose utilizing a lattice configuration, parameterized by voxel size and unit cell geometry, to achieve fine-tuned stiffness properties with high precision. A key advantage of this approach is its compatibility with single-process 3D printing, which eliminates the need for manual assembly of components with varying stiffness. Using this method, we present a novel, human-like robotic finger and a soft gripper. The gripper is integrated with a rigid manipulator and demonstrated in pick-and-place tasks, showcasing its effectiveness.
In this work, the comparison between the Newtonian and the Power Law models was pointed out to determine the flow field within a system that includes the bypass of a narrowing zone (Stenosis) of an ideal artery. The s...
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Electro-hydraulic systems are the updated version of conventional valve-controlled hydraulics. This actuation technology, which is crucial in many fields of industry, still has room for improvement in some areas. In t...
ISBN:
(数字)9781837241910
Electro-hydraulic systems are the updated version of conventional valve-controlled hydraulics. This actuation technology, which is crucial in many fields of industry, still has room for improvement in some areas. In this regard, feedback control is challenging as only the hydraulic actuator's position and pressure drop are typically measured for practical reasons. Thus, our focus is on constructing a state observer because knowing all the system’s state variables, including the actuator velocity, is desirable for achieving effective closed-loop position control. We propose a feedback linearization approach for output feedback control by developing an observer relying only on the measured position and pressures. We leverage linear matrix inequalities (LMIs) to obtain a proper observer gain. This unconventional approach for electro-hydraulic drives leads to satisfactory observer behavior. Therefore, this contribution further establishes electro-hydraulic systems by proposing novel alternatives to facilitate their control.
Crack often affects structural deformation nonlinearly, leading to difficulty detecting their existence using some Structural Health Monitoring methods. In this paper, we propose a damage index derived from the Euler-...
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This paper presents the design of a teleoperation system with a haptic display for the active needles with tip-force sensing and tip-steering capabilities. The active needle design employs sensorized tendons by fiber ...
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ISBN:
(数字)9798350386523
ISBN:
(纸本)9798350386530
This paper presents the design of a teleoperation system with a haptic display for the active needles with tip-force sensing and tip-steering capabilities. The active needle design employs sensorized tendons by fiber Bragg gratings sensor (FBGs), while the teleoperation system combines a general haptic interface with electrical stimulation as its steering interface, delivering not only general force feedback but also tip-force information measured by the FBGs-based tendons to the operators. The essential features, such as tip-force sensing, teleoperation of the tip-joint, and human perception of the measured tip-force, were experimentally evaluated with their prototypes in tissue phantoms. Based on the results obtained, necessary follow-up studies were identified and suggested for the effective teleoperation of force-sensing steerable instruments in clinical environments. If successfully developed, such systems can enable surgeons to perceive clinical situations and perform operations more precisely and safely.
This paper investigates a novel machine learning framework for autonomous, real-time fish localization in underwater videos with diverse backgrounds. The framework consists of three different algorithms from the famil...
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ISBN:
(数字)9798350362077
ISBN:
(纸本)9798350362084
This paper investigates a novel machine learning framework for autonomous, real-time fish localization in underwater videos with diverse backgrounds. The framework consists of three different algorithms from the family of deep learning and computer vision. Each of them is a good solution to one or more specific needs; however, each algorithm has its own limitations. Combining these methods using ensemble learning is a way to accomplish background-agnostic fish localization in real-time. A specific combination called weighted voting learns an optimal set of weights, such that the highest weight goes to the algorithm with the highest prediction accuracy. Results presented for two underwater datasets with significantly varying background and illumination demonstrate that weighted voting can produce consistent localization irrespective of the environment.
The increasing abundance of biomass and bio-waste materials has highlighted the necessity for sustainable methods to reuse and repurpose these resources. Fish waste constitutes a significant portion of biomass waste, ...
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Enabling humanoid robots to achieve human-level athletic feats, such as running and jumping, is at the frontier of robotics research. To execute these behaviors, a robot platform must have high power density and robus...
Enabling humanoid robots to achieve human-level athletic feats, such as running and jumping, is at the frontier of robotics research. To execute these behaviors, a robot platform must have high power density and robust mechanical and electrical systems. In this paper, we present the MIT Humanoid, a robust research platform that is designed to meet these requirements and be able to perform highly dynamic, parkour-style motions. The robot is just over 1 m tall and weighs approximately 24 kg, with 18 actuated degrees of freedom, each of which has a custom high-torque proprioceptive motor module. We also present initial hardware results from our new platform, demonstrating model-based controllers for pose control, walking, and jumping. The robot's high control bandwidth allows us to achieve stable pose control and walking, and the high power density allows the robot to achieve vertical jumps of roughly 30 cm, as measured by torso displacement.
Separators have an important influence on the safety and performance of lithium-ion batteries (LIBs). However, traditional polyolefin-based separators suffer from poor thermal stability and weak electrolyte wettabilit...
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