scholarly journals Soft robot design methodology for ‘push-button’ manufacturing

2018 ◽  
Vol 3 (6) ◽  
pp. 81-83 ◽  
Author(s):  
Jamie Paik
Keyword(s):  
Design Methodology ◽  
Robot Design ◽  
Soft Robot ◽  
Push Button

Design and fabrication of a lower limb exoskeleton to assist in stair ascending

2019 ◽  
Vol 46 (2) ◽  
pp. 290-299 ◽  
Author(s):  
Payman Joudzadeh ◽  
Alireza Hadi ◽  
Bahram Tarvirdizadeh ◽  
Danial Borooghani ◽  
Khalil Alipour
Keyword(s):  
Lower Limb ◽  
System Performance ◽  
Design Methodology ◽  
Stair Climbing ◽  
Robot Design ◽  
Disabled People ◽  
Content Type ◽  
Lower Limb Exoskeleton ◽  
Knee Braces ◽  
Novel Design

Purpose This paper aims to deal with the development of a novel lower limb exoskeleton to assist disabled people in stair ascending. Design/methodology/approach For this purpose, a novel design of a mixture of motors and cables has been proposed for users to wear them easily and show the application of the system in stair climbing. Findings One of the prominences of this study is the provided robot design where four joints are actuated with only two motors; each motor actuates either the knees or ankles. Another advantage of the designed system is that with motors placed in a backpack, the knee braces can be worn under clothes to be concealed. Finally, the system performance is evaluated using electromyography (EMG) signals showing 28 per cent reduction in energy consumption of related muscles. Originality/value This investigation deals with the development of a novel lower limb exoskeleton to assist disabled people in stair ascending.

A novel series-parallel hybrid robot for climbing transmission tower

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yanzhang Yao ◽  
Wei Wang ◽  
Yue Qiao ◽  
Zhihang He ◽  
Fusheng Liu ◽  
...  
Keyword(s):  
Design Methodology ◽  
Parallel Robot ◽  
Robot Design ◽  
Transmission Tower ◽  
Content Type ◽  
Magnetic Attraction ◽  
Working Environments ◽  
Spline Curves ◽  
Parallel Hybrid ◽  
Compact Design

Purpose The purpose of this paper is to describe the design and development of a novel series-parallel robot, which aims to climb on the transmission tower. Design methodology approach This study introduces a hybrid robot, which consists of adsorption and two 3-degree of freedom (DOF) translation parallel legs connected by a body linkage. The DOF of the legs ensures that the robot can move on the climbing plane, also contribute to a compact design of the robot. An electromagnet is used to adsorb onto the transmission tower, simplifying the overall structure. Based on the robot design, this paper further defines its climbing gait and adopt the 6th B-spline curves for climbing trajectory planning under different working environments. Findings The developed prototype that implements the design of the robot, which was used in simulation and experiments, showing that the robot is capable of climbing in the test environments with the planned climbing gait. Originality value The hybrid robot is able to climb under varying degrees of inclinations and cross the obstacles, and the magnetic attraction can ensure stable climbing.

scholarly journals Soft hands: An analysis of some gripping mechanisms in soft robot design

2015 ◽  
Vol 64-65 ◽  
pp. 155-165 ◽  
Author(s):  
Xuance Zhou ◽  
Carmel Majidi ◽  
Oliver M. O’Reilly
Keyword(s):  
Robot Design ◽  
Soft Robot

scholarly journals Enhancing Student Motivation and Efficacy through Soft Robot Design

2018 ◽  
Author(s):  
Andrew Jackson ◽  
Nathan Mentzer ◽  
Jiawei Zhang ◽  
Rebecca Kramer
Keyword(s):  
Student Motivation ◽  
Robot Design ◽  
Soft Robot

Dynamic modeling and simulation of inchworm movement towards bio-inspired soft robot design

2019 ◽  
Vol 14 (6) ◽  
pp. 066012 ◽  
Author(s):  
Jinhua Zhang ◽  
Tao Wang ◽  
Jin Wang ◽  
Baotong Li ◽  
Jun Hong ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Dynamic Modeling ◽  
Robot Design ◽  
Soft Robot

scholarly journals Illuminating Elite Patches of Chemical Space

2020 ◽  
Author(s):  
Jonas Verhellen ◽  
Jeriek Van den Abeele
Keyword(s):  
Machine Learning ◽  
Genetic Algorithm ◽  
State Of The Art ◽  
Chemical Space ◽  
Search Space ◽  
Robot Design ◽  
Soft Robot ◽  
Learning Approaches ◽  
High Performing ◽  
The Past

In the past few years, there has been considerable activity in both academic and industrial research to develop innovative machine learning approaches to locate novel, high-performing molecules in chemical space. Here we describe a new and fundamentally different type of approach that provides a holistic overview of how high-performing molecules are distributed throughout a search space. Based on an open-source, graph-based implementation [Jensen, Chem. Sci., 2019, 12, 3567-3572] of a traditional genetic algorithm for molecular optimisation, and influenced by state-of-the-art concepts from soft robot design [Mouret et al., IEEE Trans. Evolut. Comput., 2016, 22, 623-630], we provide an algorithm that (i) produces a large diversity of high-performing, yet qualitatively different molecules, (ii) illuminates the distribution of optimal solutions, and (iii) improves search efficiency compared to both machine learning and traditional genetic algorithm approaches.

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