scholarly journals Abstractions and Algorithms for Cooperative Multiple Robot Planar Manipulation

2008 ◽  
Author(s):  
Peng Cheng ◽  
Jonathan Fink ◽  
Vijay Kumar
Keyword(s):  
Multiple Robot

Adaptation and Cooperation in Control of Multiple Robot Manipulators

2000 ◽  
Vol 48 (2-3) ◽  
pp. 305-336
Author(s):  
Amit K. Sanyal ◽  
Ajay Verma ◽  
John L. Junkins
Keyword(s):  
Robot Manipulators ◽  
Multiple Robot

scholarly journals Multi AGV Coordination Tolerant to Communication Failures

Robotics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 55
Author(s):  
Diogo Matos ◽  
Pedro Costa ◽  
José Lima ◽  
Paulo Costa
Keyword(s):  
Communication Network ◽  
Simulation Software ◽  
Development Environment ◽  
Supervision System ◽  
Movement Dynamics ◽  
Robot Systems ◽  
Temporal Estimation ◽  
Temporal Efficiency ◽  
Multiple Robot ◽  
Multi Robot

Most path planning algorithms used presently in multi-robot systems are based on offline planning. The Timed Enhanced A* (TEA*) algorithm gives the possibility of planning in real time, rather than planning in advance, by using a temporal estimation of the robot’s positions at any given time. In this article, the implementation of a control system for multi-robot applications that operate in environments where communication faults can occur and where entire sections of the environment may not have any connection to the communication network will be presented. This system uses the TEA* to plan multiple robot paths and a supervision system to control communications. The supervision system supervises the communication with the robots and checks whether the robot’s movements are synchronized. The implemented system allowed the creation and execution of paths for the robots that were both safe and kept the temporal efficiency of the TEA* algorithm. Using the Simtwo2020 simulation software, capable of simulating movement dynamics and the Lazarus development environment, it was possible to simulate the execution of several different missions by the implemented system and analyze their results.

scholarly journals Trajectory Tracking and Control of Multiple Robot Arms on a Free-Floating Spacecraft for Debris Removal

2020 ◽  
Author(s):  
Ashith Shyam ◽  
◽  
Arunkumar Rathinam ◽  
Zhou Hao ◽  
◽  
...  
Keyword(s):  
Trajectory Tracking ◽  
Robot Arms ◽  
Debris Removal ◽  
Multiple Robot ◽  
And Control

scholarly journals A Multiple Robot Map Building Strategy Using Inverse Ant System-Based Surveillance System

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Oliveira Janderson Rodrigo de ◽  
Calvo Rodrigo ◽  
Romero Roseli AF
Keyword(s):  
Surveillance System ◽  
Map Building ◽  
Ant System ◽  
Multiple Robot

scholarly journals Motion of Multiple Robot in a Curved Boundary & Obstacles

2019 ◽  
Vol 9 (1) ◽  
pp. 6011-6014
Keyword(s):  
Curve Fitting ◽  
The Other ◽  
Multiple Robots ◽  
Curved Boundary ◽  
Medical Supplies ◽  
Straight Line ◽  
Multiple Robot ◽  
Assembly Operations ◽  
Curve Equation ◽  
Made In

An attempt is made in this paper to gain the flexibility of movement of robots around the boundary of the workspace, where in many robots are moving at a time in the presence of the static curved obstacles. The boundary of the workspace may be a straight line or curve shaped. The obstacle may be polygonal or curved shaped. A program is developed for the motion of the multiple robots to move from its origin location to the desired location without colliding with the boundary, the other moving robots and the static obstacles. The program is based on the curve fitting technique. As and when the robot comes close to the curved boundary or curved barrier, it will trace the path formed by the curve equation using the technique of curve fitting. Since there are multiple robots, the path planning ensures the robots to reach their targets in minimum time. During tracing the path, if more than one robot is following the same path, priority is assigned to such robots. Multiple robots finds application in assembly operations, medical supplies and meals to patients, disinfecting the rooms for patients etc.

A Hierarchically Structured Collective of Coordinating Mobile Robots Supervised by a Single Human

2014 ◽  
pp. 1142-1164
Author(s):  
Choon Yue Wong ◽  
Gerald Seet ◽  
Siang Kok Sim ◽  
Wee Ching Pang
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Situation Awareness ◽  
Search And Rescue ◽  
Cognitive Workload ◽  
Urban Search And Rescue ◽  
Robot System ◽  
Rescue Robots ◽  
Multiple Robot ◽  
Careful Management

Using a Single-Human Multiple-Robot System (SHMRS) to deploy rescue robots in Urban Search and Rescue (USAR) can induce high levels of cognitive workload and poor situation awareness. Yet, the provision of autonomous coordination between robots to alleviate cognitive workload and promote situation awareness must be made with careful management of limited robot computational and communication resources. Therefore, a technique for autonomous coordination using a hierarchically structured collective of robots has been devised to address these concerns. The technique calls for an Apex robot to perform most of the computation required for coordination, allowing Subordinate robots to be simpler computationally and to communicate with only the Apex robot instead of with many robots. This method has been integrated into a physical implementation of the SHMRS. As such, this chapter also presents practical components of the SHMRS including the robots used, the control station, and the graphical user interface.

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