The Joint Interface of RT Components for Mobile Robots: The Activity Report Inform the Mobile Robot Working Group of the NEDO Intelligent RT Software Project

2010 ◽  
Vol 22 (6) ◽  
pp. 767-776 ◽  
Author(s):  
Masaharu Shimizu ◽  
◽  
Nobuyuki Kita ◽  
Toshihisa Saito ◽  
Eijiro Takeuchi ◽  
...  
Keyword(s):  
Research And Development ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Working Group ◽  
Joint Interface ◽  
Software Project ◽  
Robotic Technology ◽  
Description Language ◽  
Unique Representation ◽  
Activity Report

RT-middleware enables an interface between RT components by means of interface description language IDL, but it does not prescribe any specific format. If a unique representation format is used, it leads to a reduction in the reusability of a Robotic Technology Component (RTC). A working group of three research bodies engaged in the research and development of mobile robots was organized in the NEDO Intelligent RT Software Project, and this working group is involved in activities aimed at the jointing of RTCs for mobile robots. This paper describes specific this working group’s attempts enhance the sustainability and reusability of common RT components for mobile robots by achieving the jointing of RTCs for mobile robots.

scholarly journals Development of a Transformable Mobile Robot with a Variable Wheel Diameter

2007 ◽  
Vol 19 (3) ◽  
pp. 252-257 ◽  
Author(s):  
Keiji Nagatani ◽  
◽  
Mitsuhiro Kuze ◽  
Kazuya Yoshida ◽  
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Natural Disaster ◽  
Geometric Analysis ◽  
Search And Rescue ◽  
Compact Form ◽  
Robotic Technology ◽  
Trade Off ◽  
Step Climbing ◽  
Expanded Form

A demand of search and rescue operations using robotic technology increases to mitigate a natural disaster. In searching tasks with mobile robots, particularly in debris-covered environment, there is a trade-off between high-traversability on bumpy surfaces (likely to large robots) and exploration in limited areas (likely to small robots). With this in mind, we developed a small transformable mobile robot that uses a variable wheel diameter and stabilizer length. In its most compact form, the robot is deployable in limited areas and, in its fully expanded form, it traverses relatively large obstacles by expanding its wheel diameter. In this paper, development is detailed in the former sections, and geometric analysis and experiment of its step-climbing capabilities is introduced in the latter sections.

Omnidirectional Mobile Platform for Research and Development

2002 ◽  
Vol 14 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Kuniaki Kawabata ◽  
◽  
Tsuyoshi Suzuki ◽  
Hayato Kaetsu ◽  
Hajime Asama
Keyword(s):  
Research And Development ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Motion Control ◽  
High Mobility ◽  
Mobile Platform ◽  
Driving Mechanism ◽  
Omnidirectional Mobile Robot ◽  
Robotic Soccer ◽  
Omnidirectional Mobile Platform

We detail an omnidirectional mobile platform for research and development (R&D). In 1995, we reported that a special driving mechanism for holonomic omnidirectional mobile robots was designed to enable 3 degree of freedom (DOF) motion control by 3 corresponding actuators decoupled with no redundancy. We constructed a omnidirectional mobile robot prototype with a drive. We took part in a RoboCup tournament as Uttori United with omnidirectional mobile robots: ZEN-450, using our driving mechanism, in 1997, and 2000. ZEN-450 showed high mobility during the tournament However, unpredictable problems occurred because ZEN-450 is not developed for robotic soccer. , We considered improving its hardware as a platform. We report the new platform and test-running results.

Ultrasonic sensor system for the uses in intelligent motion control system of a mobile robots group

2010 ◽  
Vol 7 ◽  
pp. 109-117
Author(s):  
O.V. Darintsev ◽  
A.B. Migranov ◽  
B.S. Yudintsev
Keyword(s):  
Control System ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Motion Control ◽  
High Speed ◽  
Ultrasonic Sensor ◽  
Sensor System ◽  
Motion Control System ◽  
Speed Sensor ◽  
Working Space

The article deals with the development of a high-speed sensor system for a mobile robot, used in conjunction with an intelligent method of planning trajectories in conditions of high dynamism of the working space.

Vision for mobile robots

1992 ◽  
Vol 337 (1281) ◽  
pp. 341-350 ◽  
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Structure From Motion ◽  
Optic Flow ◽  
Image Sequences ◽  
Additional Constraint ◽  
Feature Points ◽  
Scene Structure ◽  
Corner Points ◽  
Edge Points

Localized feature points, particularly corners, can be computed rapidly and reliably in images, and they are stable over image sequences. Corner points provide more constraint than edge points, and this additional constraint can be propagated effectively from corners along edges. Implemented algorithms are described to compute optic flow and to determine scene structure for a mobile robot using stereo or structure from motion. It is argued that a mobile robot may not need to compute depth explicitly in order to navigate effectively.

scholarly journals Energy Modeling and Power Measurement for Mobile Robots

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 27 ◽  
Author(s):  
Linfei Hou ◽  
Liang Zhang ◽  
Jongwon Kim
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Electrical Power ◽  
Energy Model ◽  
Energy Modeling ◽  
Power Measurement ◽  
Sensor System ◽  
System Control

To improve the energy efficiency of a mobile robot, a novel energy modeling method for mobile robots is proposed in this paper. The robot can calculate and predict energy consumption through the energy model, which provides a guide to facilitate energy-efficient strategies. The energy consumption of the mobile robot is first modeled by considering three major factors: the sensor system, control system, and motion system. The relationship between the three systems is elaborated by formulas. Then, the model is utilized and experimentally tested in a four-wheeled Mecanum mobile robot. Furthermore, the power measurement methods are discussed. The energy consumption of the sensor system and control system was at the milliwatt level, and a Monsoon power monitor was used to accurately measure the electrical power of the systems. The experimental results showed that the proposed energy model can be used to predict the energy consumption of the robot movement processes in addition to being able to efficiently support the analysis of the energy consumption characteristics of mobile robots.

A Task Based Approach to Mechatronic Systems Education

Volume 3 ◽  
2004 ◽  
Author(s):  
Kevin Firth ◽  
Brian Surgenor ◽  
Peter Wild
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Systems Engineering ◽  
Educational Tool ◽  
Electronic Components ◽  
Mechatronic Systems ◽  
Student Workload ◽  
Hands On ◽  
Hands On Learning ◽  
Elective Course

This paper describes an elective course in mechatronic systems engineering that is project based and team-oriented with hands-on learning. Working in small teams, students add electronic components to a mobile robot base and write the programs required to make the robot perform a series of tasks. Although the application of mobile robots as an educational tool in a mechatronics course is becoming the norm at many universities, the task based organization of the Queen’s mechatronics course is believed to have a number of novel features. The paper will review the pedagogy of the course, including aspects of the student workload, the interplay between teams, and the task based approach to marking and organization of the laboratories.

scholarly journals The PETLON Algorithm to Plan Efficiently for Task-Level-Optimal Navigation

2020 ◽  
Vol 69 ◽  
pp. 471-500
Author(s):  
Shih-Yun Lo ◽  
Shiqi Zhang ◽  
Peter Stone
Keyword(s):  
Mobile Robot ◽  
Motion Planning ◽  
Mobile Robots ◽  
Large Scale ◽  
Accurate Estimate ◽  
Indoor Environments ◽  
Task Planning ◽  
Trade Offs ◽  
High Level ◽  
Task Level

Intelligent mobile robots have recently become able to operate autonomously in large-scale indoor environments for extended periods of time. In this process, mobile robots need the capabilities of both task and motion planning. Task planning in such environments involves sequencing the robot’s high-level goals and subgoals, and typically requires reasoning about the locations of people, rooms, and objects in the environment, and their interactions to achieve a goal. One of the prerequisites for optimal task planning that is often overlooked is having an accurate estimate of the actual distance (or time) a robot needs to navigate from one location to another. State-of-the-art motion planning algorithms, though often computationally complex, are designed exactly for this purpose of finding routes through constrained spaces. In this article, we focus on integrating task and motion planning (TMP) to achieve task-level-optimal planning for robot navigation while maintaining manageable computational efficiency. To this end, we introduce TMP algorithm PETLON (Planning Efficiently for Task-Level-Optimal Navigation), including two configurations with different trade-offs over computational expenses between task and motion planning, for everyday service tasks using a mobile robot. Experiments have been conducted both in simulation and on a mobile robot using object delivery tasks in an indoor office environment. The key observation from the results is that PETLON is more efficient than a baseline approach that pre-computes motion costs of all possible navigation actions, while still producing plans that are optimal at the task level. We provide results with two different task planning paradigms in the implementation of PETLON, and offer TMP practitioners guidelines for the selection of task planners from an engineering perspective.

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