paper-with-me

홈 › Papers

CuriousBot: Interactive Mobile Exploration via Actionable 3D Relational Object Graph

2025-01-23 · YiXuan Wang, Leonor Fermoselle, Tarik Kelestemur, Jiuguang Wang, Yunzhu Li

Mobile exploration is a longstanding challenge in robotics, yet current methods primarily focus on active perception instead of active interaction, limiting the robot's ability to interact with and fully explore its environment. Existing robotic exploration approaches via active interaction are often restricted to tabletop scenes, neglecting the unique challenges posed by mobile exploration, such as large exploration spaces, complex action spaces, and diverse object relations. In this work, we introduce a 3D relational object graph that encodes diverse object relations and enables exploration through active interaction. We develop a system based on this representation and evaluate it across diverse scenes. Our qualitative and quantitative results demonstrate the system's effectiveness and generalization capabilities, outperforming methods that rely solely on vision-language models (VLMs).

📄 PDF Abstract BibTeX arXiv:2501.13338

Code (0)

등록된 구현이 없습니다.

Tasks

Object

Methods 이 논문이 사용한 방법론

Focus 설명 없음

Similar Papers 제목 키워드 기반

Relational Semantic Reasoning on 3D Scene Graphs for Open World Interactive Object Search

2026-03-05 · Imen Mahdi, Matteo Cassinelli, Fabien Despinoy, Tim Welschehold 외 arxiv

Open-world interactive object search in household environments requires understanding semantic relationships between objects and their surrounding context to guide exploration efficiently. Prior methods either rely on vi…

Exquisitor: Interactive Learning at Large

2019-04-18 · Björn Þór Jónsson, Omar Shahbaz Khan, Hanna Ragnarsdóttir, Þórhildur Þorleiksdóttir 외

Increasing scale is a dominant trend in today's multimedia collections, which especially impacts interactive applications. To facilitate interactive exploration of large multimedia collections, new approaches are needed …

CPURetrieval

Mobile-R1: Towards Interactive Reinforcement Learning for VLM-Based Mobile Agent via Task-Level Rewards

2025-06-25 · Jihao Gu, Qihang Ai, Yingyao Wang, Pi Bu 외

Vision-language model-based mobile agents have gained the ability to not only understand complex instructions and mobile screenshots, but also optimize their action outputs via thinking and reasoning, benefiting from rei…

reinforcement-learningReinforcement Learning

Beyond Stars: Bridging the Gap Between Ratings and Review Sentiment with LLM

2025-09-25 · Najla Zuhir, Amna Mohammad Salim, Parvathy Premkumar, Moshiur Farazi arxiv

We present an advanced approach to mobile app review analysis aimed at addressing limitations inherent in traditional star-rating systems. Star ratings, although intuitive and popular among users, often fail to capture t…

Conversational Question Answering

ZzzGPT: An Interactive GPT Approach to Enhance Sleep Quality

2023-10-24 · Yonchanok Khaokaew, Kaixin Ji, Thuc Hanh Nguyen, Hiruni Kegalle 외

This paper explores the intersection of technology and sleep pattern comprehension, presenting a cutting-edge two-stage framework that harnesses the power of Large Language Models (LLMs). The primary objective is to deli…

Sleep Quality