Search Results for author: Shaojun Zhu

Found 5 papers, 1 papers with code

Neuro-Symbolic Recommendation Model based on Logic Query

no code implementations14 Sep 2023 Maonian Wu, Bang Chen, Shaojun Zhu, Bo Zheng, Wei Peng, Mingyi Zhang

A recommendation system assists users in finding items that are relevant to them.

Neural-Symbolic Recommendation with Graph-Enhanced Information

1 code implementation11 Jul 2023 Bang Chen, Wei Peng, Maonian Wu, Bo Zheng, Shaojun Zhu

Some researchers use user behavior for logic reasoning to achieve recommendation prediction from the perspective of cognitive reasoning, but this kind of reasoning is a local one and ignores implicit information on a global scale.

Recommendation Systems

Efficient Model Identification for Tensegrity Locomotion

no code implementations12 Apr 2018 Shaojun Zhu, David Surovik, Kostas E. Bekris, Abdeslam Boularias

This paper aims to identify in a practical manner unknown physical parameters, such as mechanical models of actuated robot links, which are critical in dynamical robotic tasks.

Bayesian Optimization

Fast Model Identification via Physics Engines for Data-Efficient Policy Search

no code implementations24 Oct 2017 Shaojun Zhu, Andrew Kimmel, Kostas E. Bekris, Abdeslam Boularias

This paper presents a method for identifying mechanical parameters of robots or objects, such as their mass and friction coefficients.

Bayesian Optimization Friction +1

Information-theoretic Model Identification and Policy Search using Physics Engines with Application to Robotic Manipulation

no code implementations22 Mar 2017 Shaojun Zhu, Andrew Kimmel, Abdeslam Boularias

We consider the problem of a robot learning the mechanical properties of objects through physical interaction with the object, and introduce a practical, data-efficient approach for identifying the motion models of these objects.

Bayesian Optimization Friction +1

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