activity
20232025
most citedDeploying and Evaluating LLMs to Program Service Mobile Robots

36 citations · 40 across the 15 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.RO2025

GuideNav: User-Informed Development of a Vision-Only Robotic Navigation Assistant For Blind Travelers

Hochul Hwang, Soowan Yang, Jahir Sadik Monon +4

While commendable progress has been made in user-centric research on mobile assistive systems for blind and low-vision (BLV) individuals, references that directly inform robot navi…

cs.LG2025

Agnostics: Learning to Code in Any Programming Language via Reinforcement with a Universal Learning Environment

Aleksander Boruch-Gruszecki, Yangtian Zi, Zixuan Wu +4

Large language models (LLMs) already excel at writing code in high-resource languages such as Python and JavaScript, yet stumble on low-resource languages that remain essential to…

cs.RO2025

Human-Centered Development of Guide Dog Robots: Quiet and Stable Locomotion Control

Shangqun Yu, Hochul Hwang, Trung M. Dang +4

A quadruped robot is a promising system that can offer assistance comparable to that of dog guides due to its similar form factor. However, various challenges remain in making thes…

cs.RO2025

ConfigBot: Adaptive Resource Allocation for Robot Applications in Dynamic Environments

Rohit Dwivedula, Sadanand Modak, Aditya Akella +3

The growing use of service robots in dynamic environments requires flexible management of on-board compute resources to optimize the performance of diverse tasks such as navigation…

cs.AI2025★ 1 cited

ReasoningWeekly: A General Knowledge and Verbal Reasoning Challenge for Large Language Models

Zixuan Wu, Francesca Lucchetti, Aleksander Boruch-Gruszecki +5

Existing benchmarks for frontier models often test specialized, "PhD-level" knowledge that is difficult for non-experts to grasp. In contrast, we present a benchmark with 613 probl…