9 papers
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…
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…
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…
Joint Verification and Refinement of Language Models for Safety-Constrained Planning
Yunhao Yang, Neel P. Bhatt, William Ward +3
Large language models possess impressive capabilities in generating programs (e.g., Python) from natural language descriptions to execute robotic tasks. However, these generated pr…
Robo-Instruct: Simulator-Augmented Instruction Alignment For Finetuning Code LLMs
Zichao Hu, Junyi Jessy Li, Arjun Guha +1
Code LLMs have shown promising results with converting tasks in natural language to programs that can be executed by service robots. We are interested in finetuning small, speciali…
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…