activity
20222026
most citedDRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding

22 citations · 34 across the 11 of their papers we have counts for

collaborators

11 papers

cs.AI2026

Brick-Composer: Using MLLMs for Assembly with Diverse Bricks

Jiateng Liu, Bingxuan Li, Zhenhailong Wang +8

We dream of AI agents that can read arbitrary designs and construct real-world objects from reusable building blocks. As a first step toward this vision, we study whether multimoda…

cs.RO2026

DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors

Pengcheng Wang, Kaiwen Hong, Chensheng Peng +4

Unlike chatbots, physical AI must act while the world keeps evolving. Therefore, the inter-chunk pause of synchronous executors are fatal for dynamic tasks regardless of how fast t…

cs.RO2025

Multi-Modal Manipulation via Multi-Modal Policy Consensus

Haonan Chen, Jiaming Xu, Hongyu Chen +7

Effectively integrating diverse sensory modalities is crucial for robotic manipulation. However, the typical approach of feature concatenation is often suboptimal: dominant modalit…

cs.RO2024★ 9 cited

HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments

Shuijing Liu, Haochen Xia, Fatemeh Cheraghi Pouria +5

We study the problem of robot navigation in dense and interactive crowds with static constraints such as corridors and furniture. Previous methods fail to consider all types of spa…

cs.RO2024

Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition

Shengcheng Luo, Quanquan Peng, Jun Lv +4

Employing a teleoperation system for gathering demonstrations offers the potential for more efficient learning of robot manipulation. However, teleoperating a robot arm equipped wi…

cs.RO2024

Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation

Shuijing Liu, Kaiwen Hong, Neeloy Chakraborty +1

We investigate the feasibility of deploying reinforcement learning (RL) policies for constrained crowd navigation using a low-fidelity simulator. We introduce a representation of t…

cs.RO2023★ 1 cited

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

Haonan Chen, Yilong Niu, Kaiwen Hong +4

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…

cs.RO2023★ 22 cited

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

Shuijing Liu, Aamir Hasan, Kaiwen Hong +7

Persons with visual impairments (PwVI) have difficulties understanding and navigating spaces around them. Current wayfinding technologies either focus solely on navigation or provi…

cs.RO2023

Designing a Wayfinding Robot for People with Visual Impairments

Shuijing Liu, Aamir Hasan, Kaiwen Hong +6

People with visual impairments (PwVI) often have difficulties navigating through unfamiliar indoor environments. However, current wayfinding tools are fairly limited. In this short…

cs.RO2023

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

Peixin Chang, Shuijing Liu, Tianchen Ji +3

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. Prev…

cs.RO2022★ 2 cited

Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph

Shuijing Liu, Peixin Chang, Zhe Huang +6

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 differen…