Spherical rolling robots have garnered significant attention in the field of mobile robotics for applications such as inspection and space exploration. Designing underactuated rolling robots poses challenges in achiev...
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ISBN:
(数字)9798331520205
ISBN:
(纸本)9798331520212
Spherical rolling robots have garnered significant attention in the field of mobile robotics for applications such as inspection and space exploration. Designing underactuated rolling robots poses challenges in achieving multi-directional propulsion with high degrees of freedom while utilizing a limited number of actuators. This paper presents the MonoRollBot, a novel 3-degree-of-freedom (DOF) spherical robot that utilizes an underactuated mechanism driven by only a single springmotor system. Unlike conventional spherical robots, MonoRoll-Bot employs a minimalist actuation approach, relying on only one motor and a passive spring to control its locomotion. The robot achieves 3-DOF motion through an innovative coupling of spring dynamics and motor control. In this work, we detail the design of the MonoRollBot and evaluate its motion capabilities through design studies. We also study its locomotion behaviours based on changes in rotating mass and stiffness properties.
This paper proposed a mixed-integer convex optimization-based method for merging multiple tensegrity structures. Merging is extremely useful in constructing complex structures, which consist of lots of cables and stru...
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The article is devoted to the urgent task of developing a copying control system intended for use in active industrial exoskeletons of the lower extremities. The use of drives allows to reduce the labor costs when lif...
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In Total Knee Replacement Arthroplasty (TKA), surgical robotics can provide image-guided navigation to fit implants with high precision. Its tracking approach highly relies on inserting bone pins into the bones tracke...
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ISBN:
(数字)9798350384574
ISBN:
(纸本)9798350384581
In Total Knee Replacement Arthroplasty (TKA), surgical robotics can provide image-guided navigation to fit implants with high precision. Its tracking approach highly relies on inserting bone pins into the bones tracked by the optical tracking system. This is normally done by invasive, radiative manners (implantable markers and CT scans), which introduce unnecessary trauma and prolong the preparation time for patients. To tackle this issue, ultrasound-based bone tracking could offer an alternative. In this study, we proposed a novel deep-learning structure to improve the accuracy of bone tracking by an A-mode ultrasound (US). We first obtained a set of ultrasound dataset from the cadaver experiment, where the ground truth locations of bones were calculated using bone pins. These data were used to train the proposed CasAtt-UNet to predict bone location automatically and robustly. The ground truth bone locations and those locations of US were recorded simultaneously. Therefore, we could label bone peaks in the raw US signals. As a result, our method achieved sub-millimeter precision across all eight bone areas with the only exception of one channel in the ankle. This method enables the robust measurement of lower extremity bone positions from 1D raw ultrasound signals. It shows great potential to apply A-mode ultrasound in orthopedic surgery from safe, convenient, and efficient perspectives.
Formulating the dynamics of continuously deformable objects and other mechanical systems analytically from first principles is an exceedingly challenging task, often impractical in real-world scenarios. What makes thi...
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ISBN:
(数字)9798350395440
ISBN:
(纸本)9798350395457
Formulating the dynamics of continuously deformable objects and other mechanical systems analytically from first principles is an exceedingly challenging task, often impractical in real-world scenarios. What makes this challenge even harder to solve is that, usually, the object has not been observed previously, and the only information that we can get from it is a stream of RGB camera data. In this study, we explore the use of deep learning techniques to solve this nonlinear identification problem. We specifically focus on extracting dynamic models of simple deformable objects from the high-dimensional sensor input coming from an RGB camera. We investigate a two-stage approach to achieve this goal. First, we train a variational autoencoder to extract an extremely low-dimensional representation of the object configuration. Then, we learn a dynamic model that predicts the evolution of these latent space variables. The proposed architecture can accurately predict the object's state up to one second into the future.
One purpose of virtual environments (VE) is to increase the feeling of immersion that a user is experiencing. Today, most of VE” $\mathbf{s}$ are including, besides Virtual Reality (VR) app, also an omnidirectional...
One purpose of virtual environments (VE) is to increase the feeling of immersion that a user is experiencing. Today, most of VE” $\mathbf{s}$ are including, besides Virtual Reality (VR) app, also an omnidirectional platform in which the user can move freely and without risk of injury. Such platform is VirtuSphere (VS), for which a mechatronic system with response to user's movement was build. In order to have a full immersive VE, a standalone mechatronic system is not enough, this needs to be interconnected with the VR application that is displayed to the user. Therefore, the purpose of this paper is the development of a VR application intended for interaction with a VE consisting of the omnidirectional platform VS and a drive mechatronic system for Virtusphere (DMSVS).
The desired development and design of an electric control system (ECS) for a precision planter is one of the most crucial elements in evaluating the efficacy of applicators for plant production. The seeds would be sow...
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The desired development and design of an electric control system (ECS) for a precision planter is one of the most crucial elements in evaluating the efficacy of applicators for plant production. The seeds would be sown using this approach. Years have been invested in the continuous development of a range of application methods and metering systems, each of which offers specific advantages for applying the required system with a high degree of precision. Researchers worldwide have been trying to make electric-driven seed meters (EDSM) for planters, but they haven't succeeded. This study looks into the current state of installing seed metering systems for precision planters. Proportional-integral (PI) and sliding mode control (SMC) designs of the control system have been implemented to improve the planting quality of the planters. We want to highlight the electrically driven control system (EDCS) using these designs. An overview of the noteworthy features and limitations of past research is given. We also discuss several future directions for future research, concentrating on the knowledge gaps in this area.
This paper discusses theory of the exoskeleton systems functioning, with special attention paid to the issues of motion control algorithms, taking into account the interaction of a person and an exoskeleton. Questions...
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Anterior Cruciate Ligament rupture is one of the most common injuries contributing to osteoarthritis progression due to knee motion alteration. Reconstructive surgery often fails to recover the intact knee stability. ...
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ISBN:
(数字)9798350394634
ISBN:
(纸本)9798350394641
Anterior Cruciate Ligament rupture is one of the most common injuries contributing to osteoarthritis progression due to knee motion alteration. Reconstructive surgery often fails to recover the intact knee stability. Rehabilitative treatments as a non-invasive solution can used to strengthen the Hamstring muscles which contributes to the anterior-posterior stability. These exercises are very time and cost expensive . in order to overcome the non-effective passive knee braces in the market, in the current study A soft robotics knee brace was developed in order to improve anterior-posterior stability by contributing to Hamstring muscles group activation. The soft robotics knee brace can be actuated inside MRI which enables direct evaluation of the effectiveness. In order to validate the effectiveness of the developed knee brace two experiments were performed, seated leg curl and gait analysis. The outcomes confirmed that the soft robotics knee brace could reduce the Hamstring group activation.
The emergence of new areas of human-robot cooperation creates the need to ensure human safety in this regard. Therefore, there is a need to develop new sensors to detect the presence of a human in the vicinity of a ro...
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