Design of Propulsive Virtual Holonomic Constraints for Planar Snake Robots

Author(s):  
Alireza Mohammadi

Virtual holonomic constraints (VHCs) framework is a recent control paradigm for systematic design of motion controllers for wheel-less biologically inspired snake robots. Despite recent developments for VHC-based control systems for ground and underwater robotic snakes, they employ only two families of propulsive virtual holonomic constraints, i.e., lateral undulatory and eel-like virtual constraints. In this paper we extend the family of propulsive virtual constraints that can be used with VHC-based controllers by presenting a VHC analysis and synthesis methodology for planar snake robots that are subject to ground friction forces. In particular, we present a nonlinear differential inequality that guarantees forward motion of planar snake robots under the influence of VHCs. Furthermore, we provide a family of hyperbolic partial differential equations that can be employed to generate propulsive virtual holonomic constraints for these biologically inspired robots. Simulations are presented to verify the proposed analysis/synthesis methodology.

2016 ◽  
Vol 24 (3) ◽  
pp. 884-899 ◽  
Author(s):  
Alireza Mohammadi ◽  
Ehsan Rezapour ◽  
Manfredi Maggiore ◽  
Kristin Y. Pettersen

2016 ◽  
Vol 11 (6) ◽  
pp. 065005 ◽  
Author(s):  
Anna M Kohl ◽  
Eleni Kelasidi ◽  
Alireza Mohammadi ◽  
Manfredi Maggiore ◽  
Kristin Y Pettersen

2008 ◽  
Vol 58 ◽  
pp. 143-152
Author(s):  
Paolo Arena ◽  
Davide Lombardo ◽  
Luca Patanè

In this contribution a survey on a novel approach to locomotion and perception in biologically inspired robots is presented. The basic electronic architecture for modeling and implementing nonlinear dynamics involved in motion and perceptual control of the robot is the Cellular nonlinear network paradigm. It is shown how this continuous time lattice of neural-like circuits can generate suitable and real-time dynamics for efficient control of multi-actuators moving machines, and also to create the basis for a perceptual control of their behaviors.


2020 ◽  
Vol 5 (38) ◽  
pp. eaba6149 ◽  
Author(s):  
Barry Andrew Trimmer

Biology has inspired the development of agile robots, and it is now teaching us how to grow machines from living cells.


2018 ◽  
Vol 8 (1) ◽  
pp. 80 ◽  
Author(s):  
Eleni Kelasidi ◽  
Mansoureh Jesmani ◽  
Kristin Pettersen ◽  
Jan Gravdahl

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