dc.contributor.author |
Shehryar Ali Khan, Supervised By Dr Yasar Ayaz |
|
dc.date.accessioned |
2020-11-04T07:04:24Z |
|
dc.date.available |
2020-11-04T07:04:24Z |
|
dc.date.issued |
2016 |
|
dc.identifier.uri |
http://10.250.8.41:8080/xmlui/handle/123456789/9568 |
|
dc.description.abstract |
Mobile robots are the future of modern day vehicles and their collision is one
of the major concerns and challenges which is a very active eld of research
these days. As the number of vehicles increasing, the complexity and challenges
are also growing exponentially. There is an imminent need of a strategy or al-
gorithm to mitigate their problems. In that regard, the research presented in
this thesis is one of possible solutions that eliminates the drawback of existing
collision avoidance algorithms known as Deadlock. The proposed algorithm is
named as Velocity-based Collaborative Optimal Reciprocal Collision Avoidance
(V-CORCA) which is extensively analyzed using holonomic robots in a computer
simulation. A brief comparison among other versions of the same techniques such
as Optimal Reciprocal Collision Avoidance (ORCA) and Collaborative Optimal
Reciprocal Collision Avoidance (CORCA), is also presented for performance eval-
uation. The simulation results reveal that unlike ORCA, V-CORCA was able to
prevent deadlocks, while at the same time, reducing the overall halt time for
single and multiple robots within an eight robots-based multi-robot system. By
analyzing the simulation results of a single and (eight robots-based) multi-robot
system , it is concluded that V-CORCA is not only e cient in reducing the over
all halt time but also eradicates the possibility of occurring a Deadlock. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
SMME-NUST |
en_US |
dc.relation.ispartofseries |
SMME-TH-244; |
|
dc.subject |
Collision avoidance, mobile robots, multi-robot systems, ORCA, CORCA. |
en_US |
dc.title |
Collaborative Optimal Reciprocal Collision Avoidance (CORCA) |
en_US |
dc.type |
Thesis |
en_US |