Optimization of Posture Prediction Using MOO in Brick Stacking Operation

Rout, Biswaranjan; Tripathy, P. P.; Dash, Rati Ranjan; Dhupal, Debabrata

doi:10.1007/978-981-13-8676-3_40

Cited by 4 publications

(4 citation statements)

References 6 publications

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“…(In this section, bi-criterion objective functions are also categorized as multiple objective functions.) Multiple objective functions can also be categorized into two types: one is the product of different cost functions [22], while the other is weighted sum of different cost functions [1,2,8]. It has been reported that the combination of different cost functions (i.e., multiple objective functions [23]) is able to increase the accuracy of predicted body postures [16].…”

Section: Body Oosture Optimization and Cost Functionmentioning

confidence: 99%

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Determining human upper limb postures with a developed inverse kinematic method

Chen

Li²

2022

Robotica

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Body posture determination methods have many applications, including product design, ergonomic workplace design, human body simulation, virtual reality, and animation industry. Initiated in robotics, inverse kinematic (IK) method has been widely applied to proactive human body posture estimation. The analytic inverse kinematic (AIK) method is a convenient and time-saving type of IK methods. It is also indicated that, based on AIK methods, a specific body posture can be determined by the optimization of an arbitrary objective function. The objective of this paper is to predict the postures of human arms during reaching tasks. In this research, a human body model is established in MATLAB, where the middle rotation axis analytic kinematic method is accomplished, based on this model. The joint displacement function and joint discomfort function are selected to be initially applied in this AIK method. Results show that neither the joint displacement function nor the joint discomfort function predicts postures that are close enough to natural upper limb postures of human being, during reaching tasks. Therefore, a bi-criterion objective function is proposed by integrating the joint displacement function and joint discomfort function. The accuracy of the arm postures, predicted by the proposed objective function, is the most satisfactory, while the optimal value of the coefficient, in the proposed objective function, is determined by golden section search.

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Section: Body Oosture Optimization and Cost Functionmentioning

confidence: 99%

“…The joint discomfort function has been widely applied to predict body posture [20,22,25], which evaluates the musculoskeletal discomfort of human body [1]. Based on searched literature, the latest joint discomfort function is developed by Marler et al [21], as shown in Eq.…”

Section: Joint Discomfortmentioning

confidence: 99%

Determining human upper limb postures with a developed inverse kinematic method

Chen

Li²

2022

Robotica

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“…2) Joint discomfort The joint discomfort function has been widely applied to predict body-posture [4][13] [14], which evaluates the musculoskeletal discomfort of human body [1]. Based on searched literature, the latest joint discomfort function is developed by Marler et al [15] (shown in equation ( 2) to ( 5)),…”

Section: ) Delta Potential Energymentioning

confidence: 99%

Development Of A Bi-Criterion Objective Function For Analytical Inverse Kinematic Methods

Chen¹,

Li²

2021

Progress in Canadian Mechanical Engineering. Volume 4

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Body posture predicting methods have many applications, such as the product design, ergonomic workplace design, human body simulation, virtual reality and animation industry. Analytic Inverse Kinematic (AIK) method, a convenient and time-saving method, has been widely applied to proactively estimate human body postures. It is indicated that a specific body posture can be determined by the optimization of an arbitrary objective function. The objective of this paper is the prediction of the posture of shoulder and elbow, for reaching tasks. In this paper, the joint displacement function and joint discomfort function are selected to be initially applied in the AIK method. Then, a bi-criterion objective function is proposed, by integrating the joint displacement function and joint discomfort function.Results show that the joint displacement function does not predict accurate body postures when the torso is fixed. The joint discomfort function predicts reasonable posture, but it does not reflect the effects of the initial body posture. The accuracy of the arm postures, predicted by the proposed objective function, is the most satisfactory; while the optimal value of the coefficient, in the proposed objective function, is determined by golden section search.

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“…At first, a human model is proposed, where the human body represents a system of kinematic chain with a number of revolute joints connecting the series of links. The model is same as in robotics; the open chain mechanism is used for analysis and application which are connected by joints serially to the links [1]. For finding a suitable posture prediction procedure, a human's anthropometric characteristic, for example, masses of body segments, body dimensions, are taken into consideration.…”

Section: Introductionmentioning

confidence: 99%

Posture prediction and optimization for a manual assembly operation involving lifting of weights

Rout

Dash

Dhupal

2020

Int. J. Simul. Multidisci. Des. Optim.

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The present work combines ergonomics with the posture prediction in the assembly process to avoid musculoskeletal issues of human operator. For improved productivity the operator should be in a better work environment and in sound health. The purpose of this paper is to provide a different perspective to avoid ergonomic risk factors in manual assembly. Here, a human is modeled as 20-DOF as modeled in robotic analysis and simulated in a virtual environment. In the present study, two objective cost functions i.e. joint discomfort function and energy expenditure function have been employed for evaluating the optimized posture. For posture prediction, a combined multi-objective optimization (MOO) method is used and the objective cost functions are minimized i.e. less joint discomfort and less energy in MOO method required to do the manual assembly operation and consequently, the results are compared and finally the movements are tested using REBA technique.

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Optimization of Posture Prediction Using MOO in Brick Stacking Operation

Cited by 4 publications

References 6 publications

Determining human upper limb postures with a developed inverse kinematic method

Determining human upper limb postures with a developed inverse kinematic method

Development Of A Bi-Criterion Objective Function For Analytical Inverse Kinematic Methods

Posture prediction and optimization for a manual assembly operation involving lifting of weights

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