scholarly journals Implementasi Metode Inverse Kinematics Pada Gerakan Animasi 3D Karakter Manusia

Respati ◽  
2019 ◽  
Vol 14 (3) ◽  
Author(s):  
Ahmad Zaid Rahman, Ema Utami, Hanif Al Fatta
Keyword(s):  
Inverse Kinematics ◽  
Degrees Of Freedom ◽  
Inverse Kinematic

Perkembangan industri animasi saat ini, khususnya animasi digital yang dibuat pada umumnya sudah menggunakan bantuan dari komputer telah menjadi salah satu industri yang paling menguntungkan dengan angka pertumbuhan yang tinggi di setiap tahunnya. Model gerakan yang digunakan dalam proses animasi dapat dibuat dengan berbagai macam metode, salah satu metodenya adalah inverse kinematic. Metode ini diharapkan dapat menghasilkan gerak animasi yang lebih akurat. Penelitian ini menguji metode inverse kinematics dan diimplementasikan kedalam animasi 3D karakter manusia. Pada proses Pengujian akan dilakukan oleh animator professional dengan menganimasikan karakter 3 Dimensi yang sudah diberi parameter tolak ukur kebebasan tulang (Degrees of Freedom) dan menganimasikan karakter 3 Dimensi yang tidak menggunakan tolak ukur kebebasan tulang (Degrees of Freedom). Selanjutnya ditahap pengujian setelah dilakukan penganimasian pada karakter 3 Dimensi, yaitu membandingkan sudut yang terbentuk dari setiap sendi pada bagian tubuh animasi 3 Dimensi yang telah dibuat menggunakan metode inverse kinematic dengan video referensi yang berupa video live shoot. Pengujian ini penulis lakukan bertujuan untuk mengetahui berapa akurasi kemiripan dari kedua video tersebut. Software yang digunakan untuk mengukur sudut gerak sendi yaitu Tracker. Hasil dari penelitian ini ialah, untuk memberikan solusi agar pembuatan animasi 3D dapat lebih akurat dengan memperhatikan tolak ukur kebebasan tulang (Degrees of Freedom) sesuai anatomi pada manusia dan menggunakan metode inverse kinematics  sehingga lebih akurat.Kata kunci—Animasi 3D, Gerakan, Inverse Kinematics, Rangka manusia, Sendi .

scholarly journals Analytical inverse kinematics for 5-DOF humanoid manipulator under arbitrarily specified unconstrained orientation of end-effector

Robotica ◽  
2014 ◽  
Vol 33 (4) ◽  
pp. 747-767 ◽  
Author(s):  
Masayuki Shimizu
Keyword(s):  
Analytical Method ◽  
Inverse Kinematics ◽  
Degrees Of Freedom ◽  
Singularity Analysis ◽  
Inverse Kinematic ◽  
Inverse Kinematic Problem ◽  
Target Orientation ◽  
End Effector ◽  
Position And Orientation

SUMMARYThis paper proposes an analytical method of solving the inverse kinematic problem for a humanoid manipulator with five degrees-of-freedom (DOF) under the condition that the target orientation of the manipulator's end-effector is not constrained around an axis fixed with respect to the environment. Since the number of the joints is less than six, the inverse kinematic problem cannot be solved for arbitrarily specified position and orientation of the end-effector. To cope with the problem, a generalized unconstrained orientation is introduced in this paper. In addition, this paper conducts the singularity analysis to identify all singular conditions.

Posture Prediction Versus Inverse Kinematics

2001 ◽  
Author(s):  
Karim Abdel-Malek ◽  
Wei Yu ◽  
Zan Mi ◽  
E. Tanbour ◽  
M. Jaber
Keyword(s):  
Inverse Kinematics ◽  
Degrees Of Freedom ◽  
Human Performance ◽  
Inverse Kinematic ◽  
Cost Functions ◽  
Optimization Approach ◽  
Final Position ◽  
Serial Robot ◽  
Posture Prediction

Abstract Inverse kinematics is concerned with the determination of joint variables of a manipulator given its final position or final position and orientation. Posture prediction also refers to the same problem but is typically associated with models of the human limbs, in particular for postures assumed by the torso and upper extremities. There has been numerous works pertaining to the determination and enumeration of inverse kinematic solutions for serial robot manipulators. Part of these works have also been directly extended to the determination of postures for humans, but have rarely addressed the choice of solutions undertaken by humans, but have focused on purely kinematic solutions. In this paper, we present a theoretical framework that is based on cost functions as human performance measures, subsequently predicting postures based on optimizing one or more of such cost functions. This paper seeks to answer two questions: (1) Is a given point reachable (2) If the point is reachable, we shall predict a realistic posture. We believe that the human brain assumes different postures driven by the task to be executed and not only on geometry. Furthermore, because of our optimization approach to the inverse kinematics problem, models with large number of degrees of freedom are addressed. The method is illustrated using several examples.

scholarly journals Development of a quadruped mobile robot and its movement system using geometric-based inverse kinematics

2019 ◽  
Vol 8 (4) ◽  
Author(s):  
Muhammad Aziz Muslim ◽  
Mochammad Rusli ◽  
Achnafian Rafif Zufaryansyah ◽  
B. S. K. K. Ibrahim
Keyword(s):  
Mobile Robot ◽  
Inverse Kinematics ◽  
Degrees Of Freedom ◽  
Industrial Revolution ◽  
Research Direction ◽  
Wave Pattern ◽  
Gait Pattern ◽  
Sine Wave ◽  
Inverse Kinematic ◽  
Movement System

As the main testbed platform of Artificial Intelligence, the robot plays an essential role in creating an environment for industrial revolution 4.0. According to their bases, the robot can be categorized into a fixed based robot and a mobile robot. Current robotics research direction is interesting since people strive to create a mobile robot able to move in the land, water, and air. This paper presents development of a quadruped mobile robot and its movement system using geometric-based inverse kinematics. The study is related to the movement of a four-legged (quadruped) mobile robot with three Degrees of Freedom (3 DOF) for each leg. Because it has four legs, the movement of the robot can only be done through coordinating the movements of each leg. In this study, the trot gait pattern method is proposed to coordinate the movement of the robot's legs. The end-effector position of each leg is generated by a simple trajectory generator with half rectified sine wave pattern. Furthermore, to move each robot's leg, it is proposed to use geometric-based inverse kinematic. The experimental results showed that the proposed method succeeded in moving the mobile robot with precision. Movement errors in the translation direction are 1.83% with the average pose error of 1.33 degrees, means the mobile robot has good walking stability.

3D Modeling and Closed-Form Inverse Kinematics Solution for 6dof Surgical Robot

2013 ◽  
Vol 455 ◽  
pp. 533-538
Author(s):  
Edris Farah ◽  
Shao Gang Liu
Keyword(s):  
Closed Form ◽  
Inverse Kinematics ◽  
Degrees Of Freedom ◽  
Closed Form Solution ◽  
Inverse Kinematic ◽  
Form Solution ◽  
Surgical Robot ◽  
Decoupling Method ◽  
Six Degrees Of Freedom ◽  
Inverse Kinematics Problem

Since robots began to inter the medical fields, more research efforts and more attention have been given to this kind of robots. In this paper six degrees of freedom surgical robot was studied. The Denavit-Hartenberg parameters of the robot have been computed and 3D model has been built by using open source robotics toolbox. The paper also discussed a closed form solution for the inverse kinematics problem by using inverse kinematic decoupling method.

scholarly journals Design and analysis of a bio-inspired module-based robotic arm

2016 ◽  
Vol 7 (2) ◽  
pp. 155-166
Author(s):  
Zirong Luo ◽  
Jianzhong Shang ◽  
Guowu Wei ◽  
Lei Ren
Keyword(s):  
Stem Cell ◽  
Inverse Kinematics ◽  
Degrees Of Freedom ◽  
Lower Cost ◽  
Optimization Method ◽  
Inverse Kinematic ◽  
Robotic Arm ◽  
Level Control ◽  
Compact Size ◽  
Robot Cell

Abstract. This paper presents a novel bio-inspired modular robotic arm that is purely evolved and developed from a mechanical stem cell. Inspired by stem cell whilst different from the other robot "cell" or "molecule", a fundamental mechanical stem cell is proposed leading to the development of mechanical cells, bones and a Sarrus-linkage-based muscle. Using the proposed bones and muscles, a bio-inspired modular-based five-degrees-of-freedom robotic arm is developed. Then, kinematics of the robotic arm is investigated which is associated with an optimization-method-based numerical iterative algorithm leading to the inverse kinematic solutions through solving the non-linear transcendental equations. Subsequently, numerical example of the proposed robotic arm is provided with simulations illustrating the workspace and inverse kinematics of the arm. Further, a prototype of the robotic arm is developed which is integrated with low-level control systems, and initial motion and manipulation tests are implemented. The results indicate that this novel robotic arm functions appropriately and has the virtues of lower cost, larger workspace, and a simpler structure with more compact size.

scholarly journals Research on kinematic structure of a redundant serial industrial robot arm

2016 ◽  
Vol 19 (3) ◽  
pp. 24-33
Author(s):  
Hung Minh Vu ◽  
Trung Quang Trinh ◽  
Thang Quoc Vo
Keyword(s):  
Inverse Kinematics ◽  
Degrees Of Freedom ◽  
Industrial Robot ◽  
Inverse Kinematic ◽  
Kinematic Structure ◽  
Robot Arm ◽  
Revolute Joints ◽  
Prismatic Joints ◽  
Serial Robot ◽  
Inverse Kinematic Analysis

This paper proposes a new kinematic structure of a redundant serial robot arm and presents forward and inverse kinematic analysis. This is a new structure developed based on the robot IRB 2400 of ABB. The new structure consists of six revolute joints and two prismatic joints. The proposed robot arm has only seven degrees of freedom because the structure has a constraint between two revolute joints. Two prismatic joints help to expand workspaces of manipulator from small to very large. The paper describes in details about forward and inverse kinematics. Forward kinematics is derived based on DH Convention while inverse kinematics is calculated based on an objective function to minimize motions of a revolute joint and two prismatic joints. The simulation results on Matlab software indicated that the joint positions and velocities of a redundant serial robot arm matched well the trajectories in Cartesian Space.

scholarly journals Neuromorphic NEF-Based Inverse Kinematics and PID Control

2021 ◽  
Vol 15 ◽  
Author(s):  
Yuval Zaidel ◽  
Albert Shalumov ◽  
Alex Volinski ◽  
Lazar Supic ◽  
Elishai Ezra Tsur
Keyword(s):  
Pid Control ◽  
Inverse Kinematics ◽  
Degrees Of Freedom ◽  
Large Scale ◽  
Target Position ◽  
Inverse Kinematic ◽  
Robotic Control ◽  
High Performing ◽  
Neuromorphic Hardware ◽  
6 Degrees Of Freedom

Neuromorphic implementation of robotic control has been shown to outperform conventional control paradigms in terms of robustness to perturbations and adaptation to varying conditions. Two main ingredients of robotics are inverse kinematic and Proportional–Integral–Derivative (PID) control. Inverse kinematics is used to compute an appropriate state in a robot's configuration space, given a target position in task space. PID control applies responsive correction signals to a robot's actuators, allowing it to reach its target accurately. The Neural Engineering Framework (NEF) offers a theoretical framework for a neuromorphic encoding of mathematical constructs with spiking neurons for the implementation of functional large-scale neural networks. In this work, we developed NEF-based neuromorphic algorithms for inverse kinematics and PID control, which we used to manipulate 6 degrees of freedom robotic arm. We used online learning for inverse kinematics and signal integration and differentiation for PID, offering high performing and energy-efficient neuromorphic control. Algorithms were evaluated in simulation as well as on Intel's Loihi neuromorphic hardware.

Kinematics Modeling of a Notched Continuum Manipulator

2015 ◽  
Vol 7 (4) ◽  
Author(s):  
Zhijiang Du ◽  
Wenlong Yang ◽  
Wei Dong
Keyword(s):  
Curve Fitting ◽  
Inverse Kinematics ◽  
Degrees Of Freedom ◽  
Kinematic Model ◽  
Inverse Kinematic ◽  
Forward Kinematics ◽  
Kinematics Modeling ◽  
Continuum Manipulators ◽  
Continuum Manipulator ◽  
The Continuum

In this paper, the kinematics modeling of a notched continuum manipulator is presented, which includes the mechanics-based forward kinematics and the curve-fitting-based inverse kinematics. In order to establish the forward kinematics model by using Denavit–Hartenberg (D–H) procedure, the compliant continuum manipulator featuring the hyper-redundant degrees of freedom (DOF) is simplified into finite discrete joints. Based on that hypothesis, the mapping from the discrete joints to the distal position of the continuum manipulator is built up via the mechanics model. On the other hand, to reduce the effect of the hyper-redundancy for the continuum manipulator's inverse kinematic model, the “curve-fitting” approach is utilized to map the end position to the deformation angle of the continuum manipulator. By the proposed strategy, the inverse kinematics of the hyper-redundant continuum manipulator can be solved by using the traditional geometric method. Finally, the proposed methodologies are validated experimentally on a triangular notched continuum manipulator which illustrates the capability and the effectiveness of our proposed kinematics for continuum manipulators and also can be used as a generic method for such notched continuum manipulators.

Inverse Kinematic Model of Humanoid Robot Hand

2014 ◽  
Vol 611 ◽  
pp. 75-82 ◽  
Author(s):  
Ivan Virgala ◽  
Alexander Gmiterko ◽  
Michal Kelemen ◽  
Ľubica Miková ◽  
Martin Varga
Keyword(s):  
Inverse Kinematics ◽  
Degrees Of Freedom ◽  
Humanoid Robot ◽  
Kinematic Model ◽  
Theoretical Aspect ◽  
Optimization Method ◽  
Inverse Kinematic ◽  
Human Hand ◽  
Robot Hand ◽  
Damped Least Squares

Our study deals with inverse kinematic model of humanoid robot hand. It is important for modeling to know biomechanics of biological human hand, what is discussed in the second section. Based on theoretical aspect of kinematic configuration of the hand, the hand consisting of 24 degrees of freedom is assumed. Subsequently, there are four numerical methods of inverse kinematics used, namely pseudoinverse method, Jacobian transpose method, damped least squares and optimization method. Each of them is simulated in software Matlab and the results are compared and discussed. In the conclusion the best method from the view of solution time and number of iteration cycles is evaluated.

Effects of Dynamic Model Errors in Task-Priority Operational Space Control

Robotica ◽  
2021 ◽  
pp. 1-12
Author(s):  
Paolo Di Lillo ◽  
Gianluca Antonelli ◽  
Ciro Natale
Keyword(s):  
Inverse Kinematics ◽  
Degrees Of Freedom ◽  
Inverse Dynamics ◽  
Null Space ◽  
Control Algorithms ◽  
Model Errors ◽  
Operational Space ◽  
Dynamic Level ◽  
Concurrent Tasks ◽  
Modeling Errors

SUMMARY Control algorithms of many Degrees-of-Freedom (DOFs) systems based on Inverse Kinematics (IK) or Inverse Dynamics (ID) approaches are two well-known topics of research in robotics. The large number of DOFs allows the design of many concurrent tasks arranged in priorities, that can be solved either at kinematic or dynamic level. This paper investigates the effects of modeling errors in operational space control algorithms with respect to uncertainties affecting knowledge of the dynamic parameters. The effects on the null-space projections and the sources of steady-state errors are investigated. Numerical simulations with on-purpose injected errors are used to validate the thoughts.

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