Title
Learning Connectivity for Data Distribution in Robot Teams
Abstract
Many algorithms for control of multi-robot teams operate under the assumption that low-latency, global state information necessary to coordinate agent actions can readily be disseminated among the team. However, in harsh environments with no existing communication infrastructure, robots must form ad-hoc networks, forcing the team to operate in a distributed fashion. To overcome this challenge, we ...
Year
DOI
Venue
2021
10.1109/IROS51168.2021.9636873
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Keywords
DocType
ISSN
Wireless communication,Training,Service robots,Robot kinematics,Spread spectrum communication,Ad hoc networks,Topology
Conference
2153-0858
ISBN
Citations 
PageRank 
978-1-6654-1714-3
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Ekaterina V. Tolstaya113.44
Landon Butler200.34
Daniel Mox302.03
James Paulos4134.70
Vijay Kumar57086693.29
Alejandro Ribeiro6156.75