Search Results for author:
Found 3 papers, 1 papers with code
Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tree Search
Non-prehensile multi-object rearrangement is a robotic task of planning feasible paths and transferring multiple objects to their predefined target poses without grasping.
IPM Move Planner: AN EFFICIENT EXPLOITING DEEP REINFORCEMENT LEARNING WITH MONTE CARLO TREE SEARCH
The literature about scene rearrangement focus on developing a move planner totransform a pair of layouts on a limited plane.
Multidimensional sound propagation in 3D high-order topological sonic insulator
High-order topological insulators (TIs) develop the conventional bulk-boundary correspondence theory and rise the interest in searching innovative topological materials.
Applied Physics Materials Science
Cannot find the paper you are looking for? You can
Submit a new open access paper.
