scholarly journals Variable formation control of multiple robots via VRc and formation switching to accommodate large heading changes by leader robot

2019 ◽  
Vol 11 (6) ◽  
pp. 168781401985733
Author(s):  
Sung-Gil Wee ◽  
Yanyan Dai ◽  
Tae Hun Kang ◽  
Suk-Gyu Lee

This article describes a novel multi-robot formation control based on a switching technique that allows follower robots to maintain formation when the leader robot’s direction changes rapidly or unexpectedly. The formation pattern is determined using Virtual Robot’s Center of the multi-robot formation. To avoid collision, the formation of robots reformed in optimal size by estimating the distance between the robot and an obstacle in real time. When the leader robot suddenly changes its direction, waypoints of follower robots are switched and the formation is quickly reconstructed. This prevents follower robots from colliding with each other and reduces their radius of movement and allows them to follow the leader robot at higher speed. The proposed method which is inherently a flexible control of multi-robot formation guarantees collision avoidance and prevents sudden changes in waypoints of the system by gradually changing its size. The validity of the proposed method is demonstrated via simulation and experimental results.

Robotica ◽  
2014 ◽  
Vol 33 (2) ◽  
pp. 332-347 ◽  
Author(s):  
Riccardo Falconi ◽  
Lorenzo Sabattini ◽  
Cristian Secchi ◽  
Cesare Fantuzzi ◽  
Claudio Melchiorri

SUMMARYIn this paper, a consensus-based control strategy is presented to gather formation for a group of differential-wheeled robots. The formation shape and the avoidance of collisions between robots are obtained by exploiting the properties of weighted graphs. Since mobile robots are supposed to move in unknown environments, the presented approach to multi-robot coordination has been extended in order to include obstacle avoidance. The effectiveness of the proposed control strategy has been demonstrated by means of analytical proofs. Moreover, results of simulations and experiments on real robots are provided for validation purposes.


2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Jawhar Ghommam ◽  
Luis F. Luque-Vega ◽  
Maarouf Saad

In this paper, group formation control with collision avoidance is investigated for heterogeneous multiquadrotor vehicles. Specifically, the distance-based formation and tracking control problem are addressed in the framework of leader-follower architecture. In this scheme, the leader is assigned the task of intercepting a target whose velocity is unknown, while the follower quadrotors are arranged to set up a predefined rigid formation pattern, ensuring simultaneously interagent collision avoidance and relative localization. The adopted strategy for the control design consists in decoupling the quadrotor dynamics in a cascaded structure to handle its underactuated property. Furthermore, by imposing constraints on the orientation angles, the follower will never be overturned. Rigorous stability analysis is presented to prove the stability of the entire closed-loop system. Numerical simulation results are presented to validate the proposed control strategy.


2018 ◽  
Vol 15 (1) ◽  
pp. 172988141875910 ◽  
Author(s):  
Yingying Yu ◽  
Zhiyong Wu ◽  
Zhiqiang Cao ◽  
Lei Pang ◽  
Liang Ren ◽  
...  

As a fundamental problem, collision avoidance for multiple robots still need further investigation, especially for many robots aggregating in a tight space. In this article, a laser-based collision avoidance approach is proposed in complex multi-robot environments. The laser data is analyzed and processed in terms of distance thresholding, safe passageway analysis, obstacles repulsion, goal position attraction, and inter-robot safety. Specifically, the safe passageway analysis is used to remove unsafe directions effectively, and inter-robot safety processing reduces the possibility of being selected for the directions affected by the neighboring robots. On this basis, an optimized decision is made to guarantee that the robots achieve collision-free motions even in crowded environments. The validity of the proposed approach is verified by simulations.


Author(s):  
Sandro Hauri ◽  
Javier Alonso-Mora ◽  
Andreas Breitenmoser ◽  
Roland Siegwart ◽  
Paul Beardsley

2016 ◽  
Vol 9 (6) ◽  
pp. 339-358 ◽  
Author(s):  
Hengjing He ◽  
Supun Kamburugamuve ◽  
Geoffrey C. Fox ◽  
Wei Zhao

While the concepts of robotics and planning may be easily understood by the taking a single robot, it is not necessary that the problems we solve have a single robot in the planning scenario. In this chapter, the authors present systems with multiple robots, each robot attempts to coordinate and cooperate with the other robots for problem solving. The authors first look at the specific problems where multiple robots would be a boon for the system. This includes problems of maze solving, complete coverage, map building, and pursuit evasion. The inclusion of multiple robots in the scenario takes all the concepts of single robotic systems. It also introduces some new concepts and issues as well. They look into all these issues in the chapter which include optimality in terms of computational time and solution generated, completeness of planning, reaching a consensus, cooperation amongst multiple robots, and means of communication between robots for effective cooperation. These issues are highlighted by specific problems. The problems include multi-robot task allocation, robotic swarms, formation control with multiple robots, RoboCup, multi-robot path planning, and multi-robot area coverage and mapping. The authors specifically take the problem of multi-robot path planning, which is broadly classified under centralized and decentralized approaches. They discuss means by which algorithms for single robot path planning may be extended to the use of multiple robots. This is specifically done for the graph search, evolutionary, and behavioral approaches discussed in the earlier chapters of the book.


Author(s):  
Zheng Liu ◽  
◽  
Marcelo H. Ang Jr. ◽  
Winston Khoon Guan Seah ◽  
◽  
...  

The "museum problem" is a typical research topic on multi-robot observation of multiple moving targets. The objective of museum problem is to optimize the distribution of robots, such that the maximal moving targets can be observed. In this paper, we present our memory based searching and artificial potential field based tracking framework for museum problem. For searching, a memory table, either local or shared, can help shorten the searching time for targets. For tracking, our artificial potential field based motion control provides real-time tracking of moving targets with collision avoidance. Qualitative simulations demonstrate the capability of our searching and tracking framework.


2018 ◽  
Vol 92 (10) ◽  
pp. 2223-2234 ◽  
Author(s):  
Hongjun Yu ◽  
Peng Shi ◽  
Cheng-Chew Lim ◽  
Dongzhe Wang

Author(s):  
Soumia Boudra ◽  
Nasr-Eddine Berrached ◽  
Amine Dahane

This paper deals with the challenging problem of navigation in formation of mobiles robots fleet. For that purpose, a secure approach is used based on visual servoing to control velocities (linear and angular) of the multiple robots. To construct our system, we develop the interaction matrix which combines the moments in the image with robots velocities and we estimate the depth between each robot and the targeted object. This is done without any communication between the robots which eliminate the problem of the influence of each robot errors on the whole. For a successful visual servoing, we propose a powerful mechanism to execute safely the robots navigation, exploiting a robot accident reporting system using raspberry Pi3. In addition, in case of problem, a robot accident detection reporting system testbed is used to send an accident notification, in the form of a specifical message. Experimental results are presented using nonholonomic mobiles robots with on-board real time cameras, to show the effectiveness of the proposed method.


2012 ◽  
Vol 490-495 ◽  
pp. 1470-1474 ◽  
Author(s):  
Jin Ma ◽  
Wei Sun ◽  
Guo Qiang Liu

To ensure the dual-clutch automatic transmission shift quality, signals processing is required to be fast and stable. This paper designed a signal real-time monitoring and acquisition system for wet dual-clutch automatic transmission with Stateflow and LabVIEW8.6 development platform based on wet dual-clutch automatic transmission electronic control system. Experimental results show that the system is flexible control and responses fast.


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