RRT*-AB Framework for Path Planning of Mobile Robots

03-134172-069, HUSSNAIN KHAN

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dc.contributor.author	03-134172-069, HUSSNAIN KHAN
dc.date.accessioned	2024-10-30T11:14:51Z
dc.date.available	2024-10-30T11:14:51Z
dc.date.issued	2021-07-18
dc.identifier.other	BULC767
dc.identifier.uri	http://hdl.handle.net/123456789/18307
dc.description.abstract	Path planning for mobile robot is an important aspect of robotics. Path planning algorithms play a crucial role in robot's movement and response to the environment. RRT (Rapidly Exploring Random Trees) is a sampling-based path planning algorithm. RRT*-AB [1] is a recent addition to the family of sampling-based algorithms. This project aims to investigate different features of this algorithm and to develop it's free to use open-source library framework using python/C++ with the support of Artificial Intelligence, Robotics and computer Vision (AIRV) research group. The proposed library framework will be beneficial for the research community order to implement different applications related to exploration and rescue.	en_US
dc.description.sponsorship	Supervisor: Dr. Iram Noreen	en_US
dc.language.iso	en	en_US
dc.relation.ispartofseries	;BULC767
dc.title	RRT*-AB Framework for Path Planning of Mobile Robots	en_US
dc.type	Project Reports	en_US