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Kaiwen Hong

8 accepted papers

2026

Gotta Scoop 'Em All: Sim-And-Real Co-Training of Graph-Based Neural Dynamics for Long-Horizon Scooping

ICRA 2026poster

Robotic manipulation of granular objects is crucial in various fields, yet modeling their complex dynamics and diverse physical properties remains challenging. Simulation plays an important role in learning robotic manipulation policies, but it exhibits challenge to accurately model the complex dyna…

Cited by 0Scholar
2026

Multi-Modal Manipulation Via Multi-Modal Policy Consensus

ICRA 2026poster

Effectively integrating diverse sensory modalities is crucial for robotic manipulation. However, the typical approach of feature concatenation is often suboptimal: dominant modalities such as vision can overwhelm sparse but critical signals like touch in contact-rich tasks, and monolithic architectu…

2025

Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition

ICRA 2025

Employing a teleoperation system for gathering demonstrations offers the potential for more efficient learning of robot manipulation. However, teleoperating a robot arm equipped with a dexterous hand or gripper, via a teleoperation system presents inherent challenges due to the task's high dimension

Cited by 18SourcecodeScholar
2025

Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion

ICML 2025poster

In volume-to-volume translations in medical images, existing models often struggle to capture the inherent volumetric distribution using 3D voxel-space representations, due to high computational dataset demands. We present Score-Fusion, a novel volumetric translation model that effectively learns 3D…

Cited by 0SourcePDFScholar
2024

DRAGON: A Dialogue-Based Robot for Assistive Navigation With Visual Language Grounding

RA-L 2024

Persons with visual impairments (PwVI) have difficulties understanding and navigating spaces around them. Current wayfinding technologies either focus solely on navigation or provide limited communication about the environment. Motivated by recent advances in visual-language grounding and semantic n

Cited by 32SourcecodeScholar
2023

A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots

CoRL 2023poster

A command-following robot that serves people in everyday life must continually improve itself in deployment domains with minimal help from its end users, instead of engineers. Previous methods are either difficult to continuously improve after the deployment or require a large number of new labels d…

Cited by 8SourceScholar
2023

Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph

ICRA 2023poster

We study the problem of safe and intention-aware robot navigation in dense and interactive crowds. Most previous reinforcement learning (RL) based methods fail to consider different types of interactions among all agents or ignore the intentions of people, which results in performance degradation. I…

Cited by 92SourceScholar
2023

Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks

CoRL 2023oral

Stowing, the task of placing objects in cluttered shelves or bins, is a common task in warehouse and manufacturing operations. However, this task is still predominantly carried out by human workers as stowing is challenging to automate due to the complex multi-object interactions and long-horizon na…

Cited by 11SourcecodeScholar