Weiye Zhao

Orcid: 0000-0002-8426-5238

According to our database1, Weiye Zhao authored at least 20 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Real-time Safety Index Adaptation for Parameter-varying Systems via Determinant Gradient Ascend.
CoRR, 2024

2023
A hierarchical long short term safety framework for efficient robot manipulation under uncertainty.
Robotics Comput. Integr. Manuf., August, 2023

Persistently Feasible Robust Safe Control by Safety Index Synthesis and Convex Semi-Infinite Programming.
IEEE Control. Syst. Lett., 2023

Learning Predictive Safety Filter via Decomposition of Robust Invariant Set.
CoRR, 2023

Safety Index Synthesis with State-dependent Control Space.
CoRR, 2023

Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization.
CoRR, 2023

State-wise Constrained Policy Optimization.
CoRR, 2023

GUARD: A Safe Reinforcement Learning Benchmark.
CoRR, 2023

Hybrid Task Constrained Planner for Robot Manipulator in Confined Environment.
CoRR, 2023

Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models.
Proceedings of the Learning for Dynamics and Control Conference, 2023

State-wise Safe Reinforcement Learning: A Survey.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Safety Index Synthesis via Sum-of-Squares Programming.
Proceedings of the American Control Conference, 2023

AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming.
IEEE Control. Syst. Lett., 2022

Robust Safe Control for Uncertain Dynamic Models.
CoRR, 2022

2021
Model-free Safe Control for Zero-Violation Reinforcement Learning.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization.
CoRR, 2020

Experimental Evaluation of Human Motion Prediction Toward Safe and Efficient Human Robot Collaboration.
Proceedings of the 2020 American Control Conference, 2020

2019
Human Motion Prediction using Semi-adaptable Neural Networks.
Proceedings of the 2019 American Control Conference, 2019

2018
Human Motion Prediction using Adaptable Neural Networks.
CoRR, 2018


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