Gaotian Wang

Orcid: 0009-0008-6189-3873

According to our database1, Gaotian Wang authored at least 12 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Zero-Shot Sim-to-Real Robot Learning: A Dexterous Manipulation Study on Reactive Catching.
CoRR, May, 2026

ManiDreams: An Open-Source Library for Robust Object Manipulation via Uncertainty-aware Task-specific Intuitive Physics.
CoRR, March, 2026

2025
Collision-Inclusive Manipulation Planning for Occluded Object Grasping via Compliant Robot Motions.
IEEE Robotics Autom. Lett., September, 2025

Object-Centric Kinodynamic Planning for Nonprehensile Robot Rearrangement Manipulation.
IEEE Trans. Robotics, 2025

Caging in time: A framework for robust object manipulation under uncertainties and limited robot perception.
Int. J. Robotics Res., 2025

rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024
UNO Push: Unified Nonprehensile Object Pushing via Non-Parametric Estimation and Model Predictive Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Kinematic Modeling and Control of a Soft Robotic Arm with Non-constant Curvature Deformation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Dynamic modeling and Control of a Soft Robotic Arm Using a Piecewise Universal Joint Model.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

2022
A Reinforcement Learning Method for Motion Control With Constraints on an HPN Arm.
IEEE Robotics Autom. Lett., 2022

2021
A Q-learning Control Method for a Soft Robotic Arm Utilizing Training Data from a Rough Simulator.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021


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