259 citations · 684 across the 3 of their papers we have counts for
3 papers
cs.RO2018★ 178 cited
Potentially Guided Bidirectionalized RRT* for Fast Optimal Path Planning in Cluttered Environments
Zaid Tahir, Ahmed H. Qureshi, Yasar Ayaz +1
Rapidly-exploring Random Tree star (RRT*) has recently gained immense popularity in the motion planning community as it provides a probabilistically complete and asymptotically opt…
cs.RO2017★ 247 cited
Potential Functions based Sampling Heuristic For Optimal Path Planning
Ahmed Hussain Qureshi, Yasar Ayaz
Rapidly-exploring Random Tree Star(RRT*) is a recently proposed extension of Rapidly-exploring Random Tree (RRT) algorithm that provides a collision-free, asymptotically optimal pa…
cs.RO2017★ 259 cited
Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments
Ahmed Hussain Qureshi, Yasar Ayaz
The sampling based motion planning algorithm known as Rapidly-exploring Random Trees (RRT) has gained the attention of many researchers due to their computational efficiency and ef…