Siqi Zhou
Orcid: 0000-0001-7240-546X
According to our database1,
Siqi Zhou
authored at least 39 papers
between 2017 and 2024.
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Bibliography
2024
IEEE Robotics Autom. Lett., February, 2024
T5S1607 identified as a antibacterial FtsZ inhibitor：Virtual screening combined with bioactivity evaluation for the drug discovery.
Comput. Biol. Chem., February, 2024
Optimized Control Invariance Conditions for Uncertain Input-Constrained Nonlinear Control Systems.
IEEE Control. Syst. Lett., 2024
Is Data All That Matters? The Role of Control Frequency for Learning-Based Sampled-Data Control of Uncertain Systems.
CoRR, 2024
Control-Barrier-Aided Teleoperation with Visual-Inertial SLAM for Safe MAV Navigation in Complex Environments.
CoRR, 2024
2023
IEEE Wirel. Commun., October, 2023
Safe Multi-Agent Reinforcement Learning for Formation Control without Individual Reference Targets.
CoRR, 2023
Swarm-GPT: Combining Large Language Models with Safe Motion Planning for Robot Choreography Design.
CoRR, 2023
AMSwarmX: Safe Swarm Coordination in CompleX Environments via Implicit Non-Convex Decomposition of the Obstacle-Free Space.
CoRR, 2023
A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges.
CoRR, 2023
What is the Impact of Releasing Code with Publications? Statistics from the Machine Learning, Robotics, and Control Communities.
CoRR, 2023
AMSwarm: An Alternating Minimization Approach for Safe Motion Planning of Quadrotor Swarms in Cluttered Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Effective Anomaly Detection for Microservice Systems with Real-Time Feature Selection.
Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023
2022
Infrastructure Material Magnetization Impact Assessment of Wireless Power Transfer Pavement Based on Resonant Inductive Coupling.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Robotics Autom. Lett., 2022
Safe-Control-Gym: A Unified Benchmark Suite for Safe Learning-Based Control and Reinforcement Learning in Robotics.
IEEE Robotics Autom. Lett., 2022
Fly Out the Window: Exploiting Discrete-Time Flatness for Fast Vision-Based Multirotor Flight.
IEEE Robotics Autom. Lett., 2022
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning.
Annu. Rev. Control. Robotics Auton. Syst., 2022
Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems.
Proceedings of the Learning for Dynamics and Control Conference, 2022
Robust Predictive Output-Feedback Safety Filter for Uncertain Nonlinear Control Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Quantum Inf. Process., 2021
Automated detection and classification of spilled loads on freeways based on improved YOLO network.
Mach. Vis. Appl., 2021
To Share or Not to Share? Performance Guarantees and the Asymmetric Nature of Cross-Robot Experience Transfer.
IEEE Control. Syst. Lett., 2021
safe-control-gym: a Unified Benchmark Suite for Safe Learning-based Control and Reinforcement Learning.
CoRR, 2021
Learning to Fly - a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the Performance of Uncertain Systems in Iterative Tasks.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Deep neural networks as add-on modules for enhancing robot performance in impromptu trajectory tracking.
Int. J. Robotics Res., 2020
Experience Selection Using Dynamics Similarity for Efficient Multi-Source Transfer Learning Between Robots.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants.
CoRR, 2019
Knowledge Transfer Between Robots with Similar Dynamics for High-Accuracy Impromptu Trajectory Tracking.
Proceedings of the 17th European Control Conference, 2019
Active Training Trajectory Generation for Inverse Dynamics Model Learning with Deep Neural Networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
An Inversion-Based Learning Approach for Improving Impromptu Trajectory Tracking of Robots With Non-Minimum Phase Dynamics.
IEEE Robotics Autom. Lett., 2018
Quantum Inf. Process., 2018
Exploration on education model of international engineering competencies for undergraduate students through Project-Based Learning: A case study from China.
Proceedings of the IEEE 10th International Conference on Engineering Education, 2018
2017
多分支的降水量概率预测模型研究 (Research of Multi-branch Precipitation Probability Forecasting Model).
计算机科学, 2017
Non-square colour image scrambling based on two-dimensional Sine-Logistic and Hénon map.
KSII Trans. Internet Inf. Syst., 2017
Design of deep neural networks as add-on blocks for improving impromptu trajectory tracking.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017