Kun Wu

Orcid: 0000-0003-2095-2140

Affiliations:
  • Syracuse University, USA


According to our database1, Kun Wu authored at least 39 papers between 2019 and 2026.

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Timeline

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Bibliography

2026
HEX: Humanoid-Aligned Experts for Cross-Embodiment Whole-Body Manipulation.
CoRR, April, 2026

RoboGene: Boosting VLA Pre-training via Diversity-Driven Agentic Framework for Real-World Task Generation.
CoRR, February, 2026

RoboAug: One Annotation to Hundreds of Scenes via Region-Contrastive Data Augmentation for Robotic Manipulation.
CoRR, February, 2026

LaST<sub>0</sub>: Latent Spatio-Temporal Chain-of-Thought for Robotic Vision-Language-Action Model.
CoRR, January, 2026

2025
Diffusion Trajectory-Guided Policy for Long-Horizon Robot Manipulation.
IEEE Robotics Autom. Lett., December, 2025

RoboMIND 2.0: A Multimodal, Bimanual Mobile Manipulation Dataset for Generalizable Embodied Intelligence.
CoRR, December, 2025

Real-world Reinforcement Learning from Suboptimal Interventions.
CoRR, December, 2025

XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations.
CoRR, November, 2025

Robobench: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models as Embodied Brain.
CoRR, October, 2025

MLA: A Multisensory Language-Action Model for Multimodal Understanding and Forecasting in Robotic Manipulation.
CoRR, September, 2025

ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., June, 2025

FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency.
CoRR, June, 2025

ArtVIP: Articulated Digital Assets of Visual Realism, Modular Interaction, and Physical Fidelity for Robot Learning.
CoRR, June, 2025

SwitchVLA: Execution-Aware Task Switching for Vision-Language-Action Models.
CoRR, June, 2025

TinyVLA: Toward Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation.
IEEE Robotics Autom. Lett., April, 2025

HACTS: a Human-As-Copilot Teleoperation System for Robot Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Models.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Efficient Training of Generalizable Visuomotor Policies via Control-Aware Augmentation.
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Learning From Imperfect Demonstrations With Self-Supervision for Robotic Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Training-Free Generation of Temporally Consistent Rewards from VLMs.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Human Pose Transfer with Augmented Disentangled Feature Consistency.
ACM Trans. Intell. Syst. Technol., February, 2024

ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning.
CoRR, 2024

RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation.
CoRR, 2024

Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation.
CoRR, 2024

TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation.
CoRR, 2024

A Survey on Robotics with Foundation Models: toward Embodied AI.
CoRR, 2024

An Efficient Generalizable Framework for Visuomotor Policies via Control-aware Augmentation and Privilege-guided Distillation.
CoRR, 2024

SWBT: Similarity Weighted Behavior Transformer with the Imperfect Demonstration for Robotic Manipulation.
CoRR, 2024

2023
Multi-Clue Reasoning with Memory Augmentation for Knowledge-based Visual Question Answering.
CoRR, 2023

Cross-Modal Reasoning with Event Correlation for Video Question Answering.
CoRR, 2023

2022
Continual Few-Shot Learning with Adversarial Class Storage.
CoRR, 2022

CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
PnP-DRL: A Plug-and-Play Deep Reinforcement Learning Approach for Experience-Driven Networking.
IEEE J. Sel. Areas Commun., 2021

Human Pose Transfer with Disentangled Feature Consistency.
CoRR, 2021

EXTRA: An Experience-driven Control Framework for Distributed Stream Data Processing with a Variable Number of Threads.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Hierarchical Graph Attention Network for Few-shot Visual-Semantic Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
A Sybil-Resistant Truth Discovery Framework for Mobile Crowdsensing.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019


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