Xinghao Zhu

Orcid: 0000-0003-3183-5038

According to our database1, Xinghao Zhu authored at least 23 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Adaptive Energy Regularization for Autonomous Gait Transition and Energy-Efficient Quadruped Locomotion.
CoRR, 2024

In-Hand Following of Deformable Linear Objects Using Dexterous Fingers with Tactile Sensing.
CoRR, 2024

Contact-Implicit Model Predictive Control for Dexterous In-hand Manipulation: A Long-Horizon and Robust Approach.
CoRR, 2024

PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models.
CoRR, 2024

2023
Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection.
CoRR, 2023

Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks.
CoRR, 2023

Diff-Transfer: Model-based Robotic Manipulation Skill Transfer via Differentiable Physics Simulation.
CoRR, 2023

Human-oriented Representation Learning for Robotic Manipulation.
CoRR, 2023

A Simple Approach for General Task-Oriented Picking using Placing constraints.
CoRR, 2023

Control of Soft Pneumatic Actuators with Approximated Dynamical Modeling.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Allowing Safe Contact in Robotic Goal-Reaching: Planning and Tracking in Operational and Null Spaces.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Diff-LfD: Contact-aware Model-based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-based Simulation and Rendering.
Proceedings of the Conference on Robot Learning, 2023

Efficient Sim-to-real Transfer of Contact-Rich Manipulation Skills with Online Admittance Residual Learning.
Proceedings of the Conference on Robot Learning, 2023

2022
Offline-Online Learning of Deformation Model for Cable Manipulation With Graph Neural Networks.
IEEE Robotics Autom. Lett., 2022

Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning to Synthesize Volumetric Meshes from Vision-based Tactile Imprints.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning Insertion Primitives with Discrete-Continuous Hybrid Action Space for Robotic Assembly Tasks.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

BPOMP: A Bilevel Path Optimization Formulation for Motion Planning.
Proceedings of the American Control Conference, 2022

2021
Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss.
CoRR, 2021

6-DoF Contrastive Grasp Proposal Network.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Contact Pose Identification for Peg-in-Hole Assembly under Uncertainties.
Proceedings of the 2021 American Control Conference, 2021

2020
Main path analysis on cyclic citation networks.
J. Assoc. Inf. Sci. Technol., 2020

2019
optimization Model for Planning Precision Grasps with Multi-Fingered Hands.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019


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