This study proposes an autonomous caddie robot system that can automatically track a golf player. The caddie robot is designed to operate in two modes: an autonomous human-tracking mode, and a power-assisted manual dr...
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In this paper, the interior permanent magnet synchronous motor (IPMSM) for electric vehicles (EVs) using grain-oriented electrical steel (GO) is proposed. It was confirmed through the B-H characteristic curve and the ...
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This paper proposes an optimal design methodology for Parallel Elastic Actuators (PEAs) that minimizes torque and power consumption for tasks with external conditions. Furthermore, the paper advocates for selecting an...
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ISBN:
(数字)9781665464543
ISBN:
(纸本)9781665464550
This paper proposes an optimal design methodology for Parallel Elastic Actuators (PEAs) that minimizes torque and power consumption for tasks with external conditions. Furthermore, the paper advocates for selecting an actuator based on a comparison of the dynamic characteristics of PEAs and Series Elastic Actuators (SEAs) for a specific task. However, the design of actuators may need to vary depending on the task and application, but the criteria for this are often unclear. To address the ambiguous design criteria, we analyze the dynamic characteristics of PEAs and SEAs under external conditions and utilize them for optimal design. By formulating cost functions for various tasks, we identify the most suitable actuator design for each task. This study establishes criteria for designing PEAs for tasks with external conditions and proposes a general framework for PEA design optimization.
Flexible continuum manipulators are valued for minimally invasive surgery, offering access to confined spaces through nonlinear paths. However, cable-driven manipulators face control difficulties due to hysteresis fro...
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Traditional mobile robotic platforms often prove cost-prohibitive for small enterprises, offering limited functionality constrained to pre-programmed tasks. The Modular Machine-Learning Autonomous Trainable Rover (MMA...
Traditional mobile robotic platforms often prove cost-prohibitive for small enterprises, offering limited functionality constrained to pre-programmed tasks. The Modular Machine-Learning Autonomous Trainable Rover (MMATR) ad-dresses this gap by striving to democratize access to automated mobile robotics. Prioritizing cost-effectiveness, programma-bility, and user-friendliness, MMATR presents an accessible solution. This research outlines MMATR's primary goals: autonomous operation through embedded machine learning, user-friendly retraining facilitated by a Python GUI, extensi-bility via user-developed modules, and a generatively designed, consumer-sized 3D-printable chassis. MMATR integrates a diverse range of functionalities, including five ultrasonic sensors for autonomous navigation, a user-friendly Python GUI for retraining the embedded machine learning model, and the capa-bility to extend functionality through user-developed modules. This paper details the design, implementation, and potential applications of MMATR, contributing to the advancement of accessible and affordable mobile robotic platforms.
To facilitate the development of accessible space-bound robotic explorers, this work demonstrates a novel communication architecture intended for scientific CanSats. As low-cost terrestrial simulation platforms for or...
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The Stewart platform, a parallel robot configuration, traditionally employs six rigid linear actuators to connect a base with a mobile platform. These actuators, typically prismatic and connected by spherical or unive...
The Stewart platform, a parallel robot configuration, traditionally employs six rigid linear actuators to connect a base with a mobile platform. These actuators, typically prismatic and connected by spherical or universal joints, are arranged in alternating pairs, enabling six degrees of freedom in positioning and orientation. While this architecture has proven effective in applications requiring robust and rigid positioning systems, the advent of soft or compliant actuators presents new possibilities, especially in applications where safety is paramount, such as in medical robots involving human contact. This paper introduces a novel compliant Stewart mechanism, incorporating soft 3D-printed linear actuators designed to replace the rigid joints and legs in conventional rigid Stewart mechanisms. It explores the implementation of these soft actuators within the Stewart platform's framework, aiming to retain its six degrees of freedom (DOF) motion while enhancing safety and adaptability in sensitive environments. The results demonstrate the feasibility and potential of this approach, opening new avenues in robotic design for medical and other human-interactive applications where the combination of precision, safety, and adaptability is critical.
In this paper, we study a slow-fast realization of nonholonomic Hamiltonian control systems mediated by strong friction forces which is viewed as a singular perturbation of the nonholonomic system. We propose a system...
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Sign Languages (SL) are natural languages used by those who are deaf or have hearing impairments, as well as by hearing persons, including interpreters, family members, and friends of deaf individuals. Spoken language...
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This paper investigates the implementation of trussed designs in modular tendon-driven continuum arms (CAs) to address stiffness and stability limitations while maintaining adaptability. Various truss configurations-S...
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ISBN:
(数字)9798350367560
ISBN:
(纸本)9798350367577
This paper investigates the implementation of trussed designs in modular tendon-driven continuum arms (CAs) to address stiffness and stability limitations while maintaining adaptability. Various truss configurations-Single-Level, Combined-Level, and Alternated trusses-were analyzed using Finite Element Analysis (FEA) to evaluate their impact on flexural and axial stiffness under realistic loading conditions. Results demonstrate that truss placement significantly influences performance, with bottom-level trusses improving flexural stiffness by up to 33 %, middle-level trusses enhancing axial stiffness by 43%. Further, Combined-Level configurations provide superior overall stiffness, with Middle-Bottom trusses achieving a 66.5% improvement in flexural stiffness and a 70.9% increase in axial stiffness, while fully trussed configurations maximize rigidity with an 87.8% increase in flexural stiffness and 98.5% in axial stiffness. Alternated configurations achieve anisotropic stiffness for directional control. Additionally, the proposed trussed wing approach enhances stiffness programmability with reduced complexity, eliminating the need for full segment disassembly or tendon re-routing. The proposed trussed CAs enable tailored stiffness and directional control in robotics, medical devices, and aerospace systems.
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