Strategic Coordination and Navigation of Multiple Wheeled Robots

2021 ◽  
pp. 83-103
Author(s):  
Buddhadeb Pradhan ◽  
Nirmal Baran Hui ◽  
Diptendu Sinha Roy
Keyword(s):  
Wheeled Robots ◽  
Strategic Coordination

POLITICAL AND STRATEGIC COORDINATION AND COOPERATION FOR DEVELOPMENT: THE CASES OF ZPCSA AND GGC

2016 ◽  
Vol 31 (2) ◽  
pp. 19-36
Author(s):  
Paulo Fagundes Visentini ◽  
Analúcia Danilevicz Pereira
Keyword(s):  
South Atlantic ◽  
Strategic Orientation ◽  
International Affairs ◽  
The South ◽  
Strategic Issues ◽  
Strategic Coordination ◽  
Regional Order ◽  
Energy Products ◽  
A Site ◽  
Political Economic

The creation of the Zone of Peace and Cooperation of the South Atlantic (ZPCSA) in 1986 and the Gulf of Guinea Commission (GGC) in 2001 was about changes in the distribution of world power. This article argues that though they emerged at different times, their strategic orientation converges in a number of areas related to the significant interests in the South Atlantic as an area of stability in the region to be marked by strong political, economic and military ties. They also converge on the ideal for development, security and greater projection of power and influence in international affairs. The South Atlantic being a route of passage and trade, as a means of access and flow of energy products, the region became a site for new calculations of regional strategic powers about world affairs. The article also argues that ZPCSA and GGC are therefore crucial for the regional order and the development of higher capacities for cooperation on strategic issues. The actual point of convergence extends to ensuring the sovereignty through dialogue between the states in the region that are involved.

MeWBots: Mecanum-Wheeled Robots for Collaborative Manipulation in an Obstacle-Clustered Environment Without Communication

2021 ◽  
Vol 102 (1) ◽  
Author(s):  
Aditya Rauniyar ◽  
Hem Chandra Upreti ◽  
Aman Mishra ◽  
Prabhu Sethuramalingam
Keyword(s):  
Wheeled Robots

scholarly journals Simulators in Educational Robotics: A Review

2021 ◽  
Vol 11 (1) ◽  
pp. 11
Author(s):  
Sokratis Tselegkaridis ◽  
Theodosios Sapounidis
Keyword(s):  
Literature Review ◽  
User Interfaces ◽  
Graphical User Interfaces ◽  
Educational Robotics ◽  
Wheeled Robots ◽  
Knowledge And Skills ◽  
Development Platform ◽  
Key Features ◽  
Positive Effect ◽  
And Robotics

Educational robotics (ER) seems to have a positive effect on students and, in many cases, might help them to successfully assimilate knowledge and skills. Thus, this paper focuses on ER and carries out a literature review on educational robotics simulators with Graphical User Interfaces (GUIs). The review searches for relevant papers which were published in the period 2013–2020 and extracted the characteristics of the simulators used. The simulators that we describe in this article cover various robotic technologies, offering students an easy way to engage with virtual robots and robotics mechanisms, such as wheeled robots or drones. Using these simulators, students might cover their educational needs or prepare themselves for educational robotic competitions by working in as realistic as possible conditions without hardware restrictions. In many cases, simulators might reduce the required cost to obtain a robotic system and increase availability. Focusing on educational robotics simulators, this paper presents seventeen simulators emphasizing key features such as: user’s age, robot’s type and programming language, development platform, capabilities, and scope of the simulator.

scholarly journals A Two-Steps Robust Path-Following Controller for Wheeled Robots

1997 ◽  
Vol 30 (20) ◽  
pp. 17-24 ◽  
Author(s):  
T. Hamel ◽  
P. Souères ◽  
D. Meizel
Keyword(s):  
Path Following ◽  
Wheeled Robots

scholarly journals Local-Level Democratic Backsliding? The Consolidation of Aspiring Dominant-Party Regimes in Hungary and Poland

2021 ◽  
pp. 1-24
Author(s):  
Conor O'Dwyer ◽  
Matthew Stenberg
Keyword(s):  
Local Politics ◽  
Electoral Systems ◽  
Local Level ◽  
National Level ◽  
Dominant Party ◽  
Mayoral Elections ◽  
Political Reforms ◽  
Strategic Coordination ◽  
The Future ◽  
Two Factors

Abstract Aspiring dominant-party regimes often institute major institutional and political reforms at the national level to ensure they retain control. However, subnational politics is an important, under-studied, component of regime consolidation. This study uses mayoral races in Hungary and Poland from 2006 to 2018 to examine two factors that may inhibit dominant-party regime consolidation in local politics: the use of two-round, i.e. runoff, electoral systems and strategic coordination among opposition parties. While we find little evidence that strategic coordination can lead to widespread opposition success in single-round systems, we do find that increasing the number of candidates decreases the likelihood of the nationally dominant party winning in the first round while not affecting the second round. As such, two-round mayoral elections may be an important buffer to dominant-party regime consolidation and may provide a training ground for the future opposition.

Continuous reinforcement learning based ramp jump control for single-track two-wheeled robots

2021 ◽  
pp. 014233122110378
Author(s):  
Qingyuan Zheng ◽  
Duo Wang ◽  
Zhang Chen ◽  
Yiyong Sun ◽  
Bin Liang
Keyword(s):  
Reinforcement Learning ◽  
Energy Savings ◽  
Control Method ◽  
Learning Control ◽  
Action Space ◽  
Gradient Algorithm ◽  
Single Track ◽  
Wheeled Robots ◽  
Reward Function ◽  
Wheeled Robot

Single-track two-wheeled robots have become an important research topic in recent years, owing to their simple structure, energy savings and ability to run on narrow roads. However, the ramp jump remains a challenging task. In this study, we propose to realize a single-track two-wheeled robot ramp jump. We present a control method that employs continuous action reinforcement learning techniques for single-track two-wheeled robot control. We design a novel reward function for reinforcement learning, optimize the dimensions of the action space, and enable training under the deep deterministic policy gradient algorithm. Finally, we validate the control method through simulation experiments and successfully realize the single-track two-wheeled robot ramp jump task. Simulation results validate that the control method is effective and has several advantages over high-dimension action space control, reinforcement learning control of sparse reward function and discrete action reinforcement learning control.

Sign in / Sign up

Export Citation Format

Share Document