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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 30Source ↗Scholar ↗
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,…