Title
Energy-Optimal Motion Planning Of A Biped Pole-Climbing Robot With Kinodynamic Constraints
Abstract
Purpose - Applications of robotic systems in agriculture, forestry and high-altitude work will enter a new and huge stage in the near future. For these application fields, climbing robots have attracted much attention and have become one central topic in robotic research. The purpose of this paper is to propose an energy-optimal motion planning method for climbing robots that are applied in an outdoor environment.Design/methodology/approach - First, a self-designed climbing robot named Climbot is briefly introduced. Then, an energy-optimal motion planning method is proposed for Climbot with simultaneous consideration of kinematic constraints and dynamic constraints. To decrease computing complexity, an acceleration continuous trajectory planner and a path planner based on spatial continuous curve are designed. Simulation and experimental results indicate that this method can search an energy-optimal path effectively.Findings - Climbot can evidently reduce energy consumption when it moves along the energy-optimal path derived by the method used in this paper.Research limitations/implications - Only one step climbing motion planning is considered in this method.Practical implications - With the proposed motion planning method, climbing robots applied in an outdoor environment can commit more missions with limit power supply. In addition, it is also proved that this motion planning method is effective in a complicated obstacle environment with collision-free constraint.Originality/value - The main contribution of this paper is that it establishes a two-planner system to solve the complex motion planning problem with kinodynamic constraints.
Year
DOI
Venue
2018
10.1108/IR-11-2017-0200
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION
Keywords
Field
DocType
Motion planning, Climbing robots, Energy optimization, Kinodynamic constraints
Motion planning,Obstacle,Kinematics,Control engineering,Acceleration,Engineering,Energy consumption,Climbing,Trajectory,Energy minimization
Journal
Volume
Issue
ISSN
45
3
0143-991X
Citations 
PageRank 
References 
0
0.34
12
Authors
7
Name
Order
Citations
PageRank
Xuefeng Zhou13712.04
Li Jiang200.34
Yisheng Guan313745.41
Haifei Zhu42013.25
Dan Huang5559.44
Taobo Cheng622.74
Hong Zhang758274.33