8 citations · 15 across the 9 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.RO2023★ 1 cited
Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning
Chengmin Zhou, Xin Lu, Jiapeng Dai +3
Motion planning is the soul of robot decision making. Classical planning algorithms like graph search and reaction-based algorithms face challenges in cases of dense and dynamic ob…
cs.AI2023★ 1 cited
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review
Chengmin Zhou, Chao Wang, Haseeb Hassan +3
Bayesian inference has many advantages in robotic motion planning over four perspectives: The uncertainty quantification of the policy, safety (risk-aware) and optimum guarantees o…
cs.LG2023★ 3 cited
Neighborhood Averaging for Improving Outlier Detectors
Jiawei Yang, Susanto Rahardja, Pasi Franti
We hypothesize that similar objects should have similar outlier scores. To our knowledge, all existing outlier detectors calculate the outlier score for each object independently r…