1 citations · 1 across the 7 of their papers we have counts for
8 papers
Conflict-Based Lazy Search for Fast Multi-Manipulator Planning
Dongliang Zheng, Zhipeng Wang, Siqi Wang +4
Employing multiple manipulators can boost efficiency and accomplish tasks that a single manipulator cannot do. However, real-time planning for multiple manipulators in a cluttered…
Delayed Expansion AGT: Kinodynamic Planning with Application to Tractor-Trailer Parking
Dongliang Zheng, Yebin Wang, Stefano Di Cairano +1
Kinodynamic planning of articulated vehicles in cluttered environments faces additional challenges arising from high-dimensional state space and complex system dynamics. Built upon…
LEA*: An A* Variant Algorithm with Improved Edge Efficiency for Robot Motion Planning
Dongliang Zheng, Panagiotis Tsiotras
In this work, we introduce a new graph search algorithm, lazy edged based A* (LEA*), for robot motion planning. By using an edge queue and exploiting the idea of lazy search, LEA*…
Kinodynamic FMT* with Dimensionality Reduction Heuristics and Neural Network Controllers
Dongliang Zheng, Panagiotis Tsiotras
This paper proposes a new sampling-based kinodynamic motion planning algorithm, called FMT*PFF, for nonlinear systems. It exploits the novel idea of dimensionality reduction using…
IBBT: Informed Batch Belief Trees for Motion Planning Under Uncertainty
Dongliang Zheng, Panagiotis Tsiotras
In this work, we propose the Informed Batch Belief Trees (IBBT) algorithm for motion planning under motion and sensing uncertainties. The original stochastic motion planning proble…
Batch Belief Trees for Motion Planning Under Uncertainty
Dongliang Zheng, Panagiotis Tsiotras
In this work, we develop the Batch Belief Trees (BBT) algorithm for motion planning under motion and sensing uncertainties. The algorithm interleaves between batch sampling, buildi…