activity
20232026
most citedBridging Zero-shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill

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

collaborators

11 papers

cs.RO2026

Scaling Manual-Grounded Appliance Manipulation with Data Synthesis and Unified Planning

Yuxing Long, Lei Kang, Ziyan Yu +8

Operating household appliances requires long-horizon planning that is state-dependent and robust to disturbances, yet existing large models fall short, as no sufficiently diverse,…

cs.RO2026

VTInstructor: Visual Trajectory Prompting for Navigation Instruction Generation in Continuous Environments

Haolin Yang, Yuxing Long, Zihan Yang +1

Navigation instruction generation from ego-centric RGB video in continuous environments is an important yet challenging task for human-robot interaction and scalable dataset constr…

cs.CV2026

Embodied3DBench: Benchmarking Low-Level Embodied Spatial Intelligence of Vision Language Models

Jiyao Zhang, Mingxu Zhang, Yitong Peng +8

Are current Vision Language Models (VLMs) ready to comprehend and reason about complex embodied interactions in 3D environments? We introduce Embodied3DBench, a robot-centric bench…

cs.RO2025

RealAppliance: Let High-fidelity Appliance Assets Controllable and Workable as Aligned Real Manuals

Yuzheng Gao, Yuxing Long, Lei Kang +8

Existing appliance assets suffer from poor rendering, incomplete mechanisms, and misalignment with manuals, leading to simulation-reality gaps that hinder appliance manipulation de…

cs.RO2025

NavSpace: How Navigation Agents Follow Spatial Intelligence Instructions

Haolin Yang, Yuxing Long, Zhuoyuan Yu +8

Instruction-following navigation is a key step toward embodied intelligence. Prior benchmarks mainly focus on semantic understanding but overlook systematically evaluating navigati…

cs.RO2025

CorrectNav: Self-Correction Flywheel Empowers Vision-Language-Action Navigation Model

Zhuoyuan Yu, Yuxing Long, Zihan Yang +4

Existing vision-and-language navigation models often deviate from the correct trajectory when executing instructions. However, these models lack effective error correction capabili…

cs.CV2025

CheckManual: A New Challenge and Benchmark for Manual-based Appliance Manipulation

Yuxing Long, Jiyao Zhang, Mingjie Pan +3

Correct use of electrical appliances has significantly improved human life quality. Unlike simple tools that can be manipulated with common sense, different parts of electrical app…

cs.RO2024★ 3 cited

InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment

Yuxing Long, Wenzhe Cai, Hongcheng Wang +2

Enabling robots to navigate following diverse language instructions in unexplored environments is an attractive goal for human-robot interaction. However, this goal is challenging…

cs.CV2023★ 3 cited

ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation

Xiaoqi Li, Mingxu Zhang, Yiran Geng +6

Robot manipulation relies on accurately predicting contact points and end-effector directions to ensure successful operation. However, learning-based robot manipulation, trained on…

cs.RO2023★ 4 cited

Bridging Zero-shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill

Wenzhe Cai, Siyuan Huang, Guangran Cheng +4

Zero-shot object navigation is a challenging task for home-assistance robots. This task emphasizes visual grounding, commonsense inference and locomotion abilities, where the first…

cs.RO2023★ 1 cited

Discuss Before Moving: Visual Language Navigation via Multi-expert Discussions

Yuxing Long, Xiaoqi Li, Wenzhe Cai +1

Visual language navigation (VLN) is an embodied task demanding a wide range of skills encompassing understanding, perception, and planning. For such a multifaceted challenge, previ…