Xi Huang

Orcid: 0009-0004-5839-5399

Affiliations:
  • Karlsruhe Institute of Technology (KIT), Institute of Anthropomatics and Robotics, Robotics and Autonomous Systems, Germany


According to our database1, Xi Huang authored at least 11 papers between 2022 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
MoRe-ERL: Learning Motion Residuals using Episodic Reinforcement Learning.
CoRR, August, 2025

X-IL: Exploring the Design Space of Imitation Learning Policies.
CoRR, February, 2025

Towards Fusing Point Cloud and Visual Representations for Imitation Learning.
CoRR, February, 2025

dGrasp: NeRF-Informed implicit grasp policies with supervised optimization slopes.
Robotics Auton. Syst., 2025

BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ETA-IK: Execution-Time-Aware Inverse Kinematics for Dual-Arm Systems.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024
6-DoF Grasp Pose Evaluation and Optimization via Transfer Learning from NeRFs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Planning with Learned Subgoals Selected by Temporal Information.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Train What You Know - Precise Pick-and-Place with Transporter Networks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
HIRO: Heuristics Informed Robot Online Path Planning Using Pre-computed Deterministic Roadmaps.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022


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