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Baolin Liu

3 accepted papers

2023

Collision-Free Motion Generation Based on Stochastic Optimization and Composite Signed Distance Field Networks of Articulated Robot

RA-L 2023

Safe robot motion generation is critical for practical applications from manufacturing to homes. In this work, we proposed a stochastic optimization-based motion generation method to generate collision-free and time-optimal motion for the articulated robot represented by composite signed distance fi

Cited by 30SourceScholar
2020

Visual Encoding and Decoding of the Human Brain Based on Shared Features

IJCAI 2020poster

Using a convolutional neural network to build visual encoding and decoding models of the human brain is a good starting point for the study on relationship between deep learning and human visual cognitive mechanism. However, related studies have not fully considered their differences. In this paper,…