Energy Limitations and Energetic Efficiency of Mobile Robots

Author(s):  
Michael Ben Chaim
Author(s):  
Giuseppe Quaglia ◽  
Luca Bruzzone ◽  
Riccardo Oderio ◽  
Roberto P. Razzoli

The family of Epi.q mobile robots is based on a three-wheeled locomotion unit which is capable of switching between wheeled locomotion and legged locomotion depending on the dynamic conditions, without control intervention. This feature allows to conjugate the benefits of both the locomotion modes: high speed and energetic efficiency on even terrains with the wheeled locomotion, and mobility performance on uneven terrains and in presence of obstacles with the legged locomotion. Two prototypes of the Epi.q family have been already realized and tested, with positive results; a further evolution with four actuated locomotion units (instead of two active and two idle units) is currently under construction. The present paper outlines the evolution of the family of Epi.q mobile robots and proposes several possible architectural evolutions exploiting a modular approach; this approach could be used also to simplify the design phase, obtaining different mobile robots from a limited set of base modules.


2012 ◽  
Vol 132 (3) ◽  
pp. 381-388
Author(s):  
Takaaki Imaizumi ◽  
Hiroyuki Murakami ◽  
Yutaka Uchimura

2006 ◽  
Vol 65 (3) ◽  
pp. 229-241
Author(s):  
S. F. Yatsun ◽  
F. K. Freire ◽  
V. S. Dyshenko ◽  
O. A. Shadrina
Keyword(s):  

Author(s):  
Paulo Roberto Wander ◽  
Daniel Medeiros ◽  
Bruna Ferrari
Keyword(s):  

2019 ◽  
Author(s):  
Abhishek Verma ◽  
Virender Ranga

Relay node placement in wireless sensor networks for constrained environment is a critical task due to various unavoidable constraints. One of the most important constraints is unpredictable obstacles. Handling obstacles during relay node placement is complicated because of complexity involved to estimate the shape and size of obstacles. This paper presents an Obstacle-resistant relay node placement strategy (ORRNP). The proposed solution not only handles the obstacles but also estimates best locations for relay node placement in the network. It also does not involve any additional hardware (mobile robots) to estimate node locations thus can significantly reduce the deployment costs. Simulation results show the effectiveness of our proposed approach.


Sign in / Sign up

Export Citation Format

Share Document