2018
DOI: 10.1089/soro.2017.0009
|View full text |Cite
|
Sign up to set email alerts
|

The Natural-CCD Algorithm, a Novel Method to Solve the Inverse Kinematics of Hyper-redundant and Soft Robots

Abstract: This article presents a new method to solve the inverse kinematics problem of hyper-redundant and soft manipulators. From an engineering perspective, this kind of robots are underdetermined systems. Therefore, they exhibit an infinite number of solutions for the inverse kinematics problem, and to choose the best one can be a great challenge. A new algorithm based on the cyclic coordinate descent (CCD) and named as natural-CCD is proposed to solve this issue. It takes its name as a result of generating very har… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
19
0
1

Year Published

2018
2018
2024
2024

Publication Types

Select...
7
2

Relationship

3
6

Authors

Journals

citations
Cited by 54 publications
(27 citation statements)
references
References 33 publications
1
19
0
1
Order By: Relevance
“…This work will use the Natural-CCD algorithm to control the presented robot since it is based on simple principles and provide accurate solutions while being computationally efficient for real-time applications. Additionally, it allows multiple customization options, manages restrictions and collisions and provides intermediate configurations to reach the final solution [7]. It relies on an iterative approach that uses small increments to control the movement of each module of the robot leading to very simple and fast-converging solutions.…”
Section: Kinematic Chain Controlmentioning
confidence: 99%
See 1 more Smart Citation
“…This work will use the Natural-CCD algorithm to control the presented robot since it is based on simple principles and provide accurate solutions while being computationally efficient for real-time applications. Additionally, it allows multiple customization options, manages restrictions and collisions and provides intermediate configurations to reach the final solution [7]. It relies on an iterative approach that uses small increments to control the movement of each module of the robot leading to very simple and fast-converging solutions.…”
Section: Kinematic Chain Controlmentioning
confidence: 99%
“…(ii) When the actuation is not located in the robot body, a mid-level control should study how to transfer the movements from the actuators to the joints. (iii) And high-level controls that rely on previous ones to manage the whole-body movements from a higher level of abstraction such as solving the inverse kinematics problem [7], guiding the robot with a follow-the-leader strategy [8], or performing shape controls [9], among many others.…”
Section: Introductionmentioning
confidence: 99%
“…It may be applied for both inextensible and extensible robots [CB95, CB94a]. According to some authors, models that approximate continuum manipulators by discrete hyper‐redundant ones could be appropriate [TRKW08, MBdC18].…”
Section: State‐of‐the‐artmentioning
confidence: 99%
“…De acuerdo con algunos autores, los modelos que aproximan manipuladores continuos mediante robots hiper-redundantes discretos pueden también ser apropiados , Martín, Barrientos et al 2018. Otros modelos de gran precisión han sido desarrollados a partir del método de los elementos finitos (FEM, en inglés) que a menudo permiten su aplicación en tiempo real (Duriez 2013).…”
Section: Modeladounclassified