A Hybrid Model of Snake Robot Locomotion in Cluttered Environments

Author(s):  
Pål Liljebäck ◽  
Kristin Y. Pettersen ◽  
Øyvind Stavdahl ◽  
Jan Tommy Gravdahl
Author(s):  
Mohammadali Javaheri Koopaee ◽  
Cid Gilani ◽  
Callum Scott ◽  
XiaoQi Chen

This chapter concerns modelling and control of snake robots. Specifically, the authors' main goal is introducing some of the fundamental design, modelling, and control approaches introduced for efficient snake robot locomotion in cluttered environments. This is a critical topic because, unlike locomotion in flat surfaces, where pre-specified gait equations can be employed, for locomotion in unstructured environment more sophisticated control approaches should be used to achieve intelligent and efficient mobility. To reach this goal, shape-based modelling approaches and a number of available control schemes for operation in unknown environments are presented, which hopefully motivates more scholars to start working on snake robots. Some ideas about future research plans are also proposed, which can be helpful for fabricating a snake robot equipped with the necessary features for operation in a real-world environment.


Author(s):  
Pål Liljebäck ◽  
Kristin Y Pettersen ◽  
Øyvind Stavdahl ◽  
Jan Tommy Gravdahl

Author(s):  
Pål Liljebäck ◽  
Kristin Y. Pettersen ◽  
Øyvind Stavdahl ◽  
Jan Tommy Gravdahl

2010 ◽  
Vol 26 (5) ◽  
pp. 781-799 ◽  
Author(s):  
Pål Liljeback ◽  
Kristin Y. Pettersen ◽  
Øyvind Stavdahl ◽  
Jan Tommy Gravdahl

2012 ◽  
Vol 17 (6) ◽  
pp. 1158-1169 ◽  
Author(s):  
Pål Liljeback ◽  
Kristin Y. Pettersen ◽  
Øyvind Stavdahl ◽  
Jan Tommy Gravdahl
Keyword(s):  

Author(s):  
Mahdi Haghshenas-Jaryani ◽  
Hakki Erhan Sevil ◽  
Liang Sun

Abstract This paper presents the concept of teaming up snake-robots, as unmanned ground vehicles (UGVs), and unmanned aerial vehicles (UAVs) for autonomous navigation and obstacle avoidance. Snake robots navigate in cluttered environments based on visual servoing of a co-robot UAV. It is assumed that snake-robots do not have any means to map the surrounding environment, detect obstacles, or self-localize, and these tasks are allocated to the UAV, which uses visual sensors to track the UGVs. The obtained images were used for the geo-localization and mapping the environment. Computer vision methods were utilized for the detection of obstacles, finding obstacle clusters, and then, mapping based on Probabilistic Threat Exposure Map (PTEM) construction. A path planner module determines the heading direction and velocity of the snake robot. A combined heading-velocity controller was used for the snake robot to follow the desired trajectories using the lateral undulatory gait. A series of simulations were carried out for analyzing the snake-robot’s maneuverability and proof-of-concept by navigating the snake robot in an environment with two obstacles based on the UAV visual servoing. The results showed the feasibility of the concept and effectiveness of the integrated system for navigation.


2020 ◽  
Vol 17 (2) ◽  
pp. 558-569
Author(s):  
Areej Ghazi Abdulshaheed ◽  
Mohamed Bin Hussein ◽  
Mohd Azuwan Mat Dzahir ◽  
Shaharil Mad Saad ◽  
Rohani Othman

The flexibility of the snake robot body and its ability to adapt to different types of terrain attracted the attention of researchers to the great possibilities of its application in inspection, rescue, and searching tasks. These tasks require the robot to have the ability to navigate smartly in a complex environment (CE), which is considered to be one of the most critical challenges in the robotics field. The robot should be able to sense the surrounding environment and overcome different types of obstacles. In this paper, we have presented a review of the different type of snake robot locomotion and the controlling strategies in an environment with obstacles. We focus on avoidance obstacle locomotion as it is considered to be the most common strategy for dealing with obstacles. In addition, various types of modeling and controlling of locomotion with the presence of obstacles are discussed. Finally, a recommendation on the introduction of an obstacle detection system (ODS) and sensor fusion technology is given.


Sign in / Sign up

Export Citation Format

Share Document