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DATE | 2022-05-12 16:10-17:00 |

PLACE | 數學系館 1F3174教室 |

SPEAKER | 曾國師 副教授（國立中央大學數學系） |

TITLE | 3D Map Exploration using Topological Fourier Sparse Set
線上專題演講 |

ABSTRACT |
線上專題演講 3D map exploration is one of key technologies in robotics. However, finding an optimal exploration path is a challenge due to unknown environments. This research proposed the Topological Fourier Sparse Set (TFSS) algorithm to enable an unmanned aerial vehicle (UAV) to explore 3D environments with theoretical guarantees. The algorithm combines the Rips complex with Fourier sparse set representation to take the advantages of topological and submodular approaches. More specifically, the Rips complex is used for expanding the exploration subgoals, while the Fourier sparse set encodes a learned representation of the subgoal selection problem in the form of a submodular optimization problem. Since the objective function of spatial exploration is reformulated as a maximizing submodular function with path constraints, greedy algorithms can achieve 0.5(1 - e^(-1)) of the optimum. Experiments conducted with this algorithm demonstrates that the TFSS explores unknown environments 25% to 127% more than the NBV algorithm does. The TFSS exploration performance is close to the SFSS but it is 50 times faster than the SFSS. 會議鏈結: https://nckucc.webex.com/nckucc/j.php?MTID=m6cb97ca14494cdcf291f71f0b8a0fa7b 會議號: 2511 759 8689 會議密碼: 238172 |