2018
DOI: 10.1007/s11431-017-9216-x
|View full text |Cite
|
Sign up to set email alerts
|

Step rolling planning of a six-legged robot with 1-DOF waist for slope climbing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
5
2

Relationship

1
6

Authors

Journals

citations
Cited by 8 publications
(3 citation statements)
references
References 20 publications
0
3
0
Order By: Relevance
“…Recent advances in the interdisciplinary fields of planetary exploration [1][2][3][4][5], reconfigurable mechanism [6][7][8][9][10], and autonomous robot [11][12][13][14][15] indicate that the multifunctional and robotic detection probe will become one of the development trends. To survive in the unknown even hostile extraterrestrial environment, the complex task requirements are rendered with the hopes of merging functions of adjusting and landing, and roving and operating into a versatile counterpart-the reconfigurable legged mobile lander (ReLML).…”
Section: Introductionmentioning
confidence: 99%
“…Recent advances in the interdisciplinary fields of planetary exploration [1][2][3][4][5], reconfigurable mechanism [6][7][8][9][10], and autonomous robot [11][12][13][14][15] indicate that the multifunctional and robotic detection probe will become one of the development trends. To survive in the unknown even hostile extraterrestrial environment, the complex task requirements are rendered with the hopes of merging functions of adjusting and landing, and roving and operating into a versatile counterpart-the reconfigurable legged mobile lander (ReLML).…”
Section: Introductionmentioning
confidence: 99%
“…Chen et al [20,21] proposed a time-optimal trajectory planning method for a hexapod robot under actuator constraints. Tian et al [22][23][24] decomposed motion planning on irregular terrain into foothold selection and whole body configuration planner.…”
Section: Introductionmentioning
confidence: 99%
“…Alexander Shkolnik et al [8] proposed a motion planning algorithm for bounding over rough terrain developed by Rapidly Exploring Random Trees (RRTs). Yuan Tian and Feng Gao [9][10][11] decomposed the motion planning on irregular terrain into two main steps: the foothold selection and whole body configuration planner. Marco Hutter et al [12][13][14] split the locomotion control of ANYmal into five key components: state estimation, localization and mapping, navigation, foothold and motion planning, as well as whole body control.…”
Section: Introductionmentioning
confidence: 99%