Xiao Li

Orcid: 0000-0003-2565-9883

Affiliations:

Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Lab, Cambridge, MA, USA

According to our database¹, Xiao Li authored at least 11 papers between 2020 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2023

BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, June, 2023

Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2023

Risk-Aware Neural Navigation From BEV Input for Interactive Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN).

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Learning Policies by Learning Rules.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

BarrierNet: A Safety-Guaranteed Layer for Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

The Logical Options Framework.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Differentiable Logic Layer for Rule Guided Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

Xiao Li

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