RCareGen: An Interface for Scene and Task Generation in RCareWorld

This late-breaking report presents RCareGen, a graphical interface that integrates natural language commands with RCare World, a physics simulator for robotic caregiving scenarios. RCareGen has three core modules: (1) a front-end web interface, (2) an LLM-based code generator, and (3) the RCareWorld simulation backend. The front-end web interface enables novice users to input natural language, which is translated into Python code by an LLM-based code generator. This generated code interacts with RCareWorld APIs to run the simulation backend, facilitating scene setup, modifications, simple movements, and human-robot interaction tasks. Additionally, the system supports iterative feedback, allowing users to refine scenes and tasks interactively. By simplifying simulation setup and enhancing task diversity, RCareGen introduces a novel interface that democratizes robot simulation and programming across diverse domains.

Authors

Institutions

Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/hri61500.2025.10973913
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

RCareGen: An Interface for Scene and Task Generation in RCareWorld

Ruolin Ye, Tapomayukh Bhattacharjee, Pooyan Fazli, Hasti Seifi et al.
Parallel Computing and Optimization Techniques
article

RCareGen: An Interface for Scene and Task Generation in RCareWorld

Ruolin Ye, Tapomayukh Bhattacharjee, Pooyan Fazli, Hasti Seifi, Shuaixing Chen, Saurabh Dingwani
article en

Abstract

This late-breaking report presents RCareGen, a graphical interface that integrates natural language commands with RCare World, a physics simulator for robotic caregiving scenarios. RCareGen has three core modules: (1) a front-end web interface, (2) an LLM-based code generator, and (3) the RCareWorld simulation backend. The front-end web interface enables novice users to input natural language, which is translated into Python code by an LLM-based code generator. This generated code interacts with RCareWorld APIs to run the simulation backend, facilitating scene setup, modifications, simple movements, and human-robot interaction tasks. Additionally, the system supports iterative feedback, allowing users to refine scenes and tasks interactively. By simplifying simulation setup and enhancing task diversity, RCareGen introduces a novel interface that democratizes robot simulation and programming across diverse domains.

Shanghai Jiao Tong University (CN), Cornell University (US), Arizona State University (US)
Openalex Percentile: Top 91%
Parallel Computing and Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.