A swarm robot system that maintains welding cables in optimized shape by cooperative towing

2021 ◽  
Vol 2021 (0) ◽  
pp. 1P2-F04
Author(s):  
Ryota SUZUKI ◽  
Yoshito OKADA ◽  
Haruhiko ETO ◽  
Kazunori OHNO ◽  
Kenjiro TADAKUMA ◽  
...  
Keyword(s):  
Robot System ◽  
Swarm Robot

Sharing Experience for Behavior Generation of Real Swarm Robot Systems Using Deep Reinforcement Learning

2019 ◽  
Vol 31 (4) ◽  
pp. 520-525 ◽  
Author(s):  
Toshiyuki Yasuda ◽  
Kazuhiro Ohkura ◽  
◽  
Keyword(s):  
Reinforcement Learning ◽  
Collective Behavior ◽  
Design Methodology ◽  
Learning Performance ◽  
Centralized Control ◽  
Robot System ◽  
Swarm Robots ◽  
Robot Systems ◽  
Swarm Robot ◽  
Typical Design

Swarm robotic systems (SRSs) are a type of multi-robot system in which robots operate without any form of centralized control. The typical design methodology for SRSs comprises a behavior-based approach, where the desired collective behavior is obtained manually by designing the behavior of individual robots in advance. In contrast, in an automatic design approach, a certain general methodology is adopted. This paper presents a deep reinforcement learning approach for collective behavior acquisition of SRSs. The swarm robots are expected to collect information in parallel and share their experience for accelerating their learning. We conducted real swarm robot experiments and evaluated the learning performance of the swarm in a scenario where the robots consecutively traveled between two landmarks.

scholarly journals Behavior Learning of Swarm Robot System using Bluetooth Network

2009 ◽  
Vol 9 (1) ◽  
pp. 10-15
Author(s):  
Sang-Wook Seo ◽  
Hyun-Chang Yang ◽  
Kwee-Bo Sim
Keyword(s):  
Robot System ◽  
Behavior Learning ◽  
Swarm Robot

DEVELOPMENT OF LEADER AND FOLLOWER STRATEGY FOR SWARM ROBOT APPLICATIONS

2015 ◽  
Vol 77 (28) ◽  
Author(s):  
Humairah Mansor ◽  
Abdul Hamid Adom ◽  
Norasmadi Abdul Rahim
Keyword(s):  
Wireless Communication ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Communication Strategy ◽  
Robot System ◽  
Testing Environment ◽  
Odour Source ◽  
Wide Range ◽  
Robust System ◽  
Swarm Robot

Swarming robots basically consist of a group of several simple robots that interact and collaborate with each other to achieve shared goals. A single robot system is not suitable to be used as an agent for the navigation usually covers a wide range of area. Therefore, a group of simple robots is introduced. A group of robots can perform their tasks together in a more efficient way compared to a single robot; hence develop a more robust system. In order to interact, a wireless communication strategy is implemented to enable the group of mobile robots to perform their tasks. This project implements the swarming algorithm by supplementing the ability of mobile robot platforms with autonomy and odour detection. The work focused on the localization of chemical odour source in the testing environment and the leader and follower swarm formation through wireless communication. To enable the mobile robots to communicate with each other and able to perform leader and follower designation once the target has been found, the RSSI value of X-Bee module is used.

A swarm robot system that maintains welding cables in optimized shape by cooperative towing

2021 ◽  
Vol 2021 (0) ◽  
pp. 1P2-F05
Author(s):  
Ryota SUZUKI ◽  
Yoshito OKADA ◽  
Kazunori OHNO ◽  
Kenjiro TADAKUMA ◽  
Satoshi TADOKORO
Keyword(s):  
Robot System ◽  
Swarm Robot

Positioning and Path Planning for a Swarm Robotic Cleaner

2013 ◽  
Vol 740 ◽  
pp. 112-119 ◽  
Author(s):  
Min Chie Chiu ◽  
Long Jyi Yeh ◽  
Tian Syung Lan ◽  
Shao Chun Yen
Keyword(s):  
Path Planning ◽  
Sweeping Process ◽  
Motor Speed ◽  
Single Chip ◽  
Clockwise Rotation ◽  
Robot System ◽  
Swarm Robot ◽  
Searching Method ◽  
Environmental Map ◽  
Blue Tooth

The main purpose of this paper is to create an efficient ground-sweeping robot equipped with map-establishing and path-planning functions. Two ground-sweeping robots are connected with a master pc via a Blue-tooth protocol. The position of the ground-sweeping robot will be sent back to the master pc allowing the master pc to control the robots during the ground-sweeping process. An environmental map of the sweeping area will be established by emitting an ultrasonic wave from a rotating ultrasonic sensor within the robot. The geometry data will be sent back to the master pc via the Bluetooth module. The map of sweeping area will be made by the master pc using a wall-searching method. A single-chip Microcontroller PIC18F4520 is used as a control core to control the motor speed via the PWM in the robot. The clockwise and counter clockwise rotation of the motor will then be manipulated by a TA7279 IC. The robot is equipped with two ultrasonic modules used to detect the distance between the robot and the obstacle. This information will be sent back to the master pc via the Blue-tooth module. Consequently, results reveal that a prototype of the swarm robot system using two ground-sweeping robots and a master pc has positioning and mapping abilities.

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