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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 2024 · cs.ROShow all

5 papers · 2 filters

cs.RO2024

Creating and Repairing Robot Programs in Open-World Domains

Claire Schlesinger, Arjun Guha, Joydeep Biswas

Using Large Language Models (LLMs) to produce robot programs from natural language has allowed for robot systems that can complete a higher diversity of tasks. However, LLM-generat…

cs.RO2024★ 1 cited

Lessons Learned from Developing a Human-Centered Guide Dog Robot for Mobility Assistance

Hochul Hwang, Ken Suzuki, Nicholas A Giudice +3

While guide dogs offer essential mobility assistance, their high cost, limited availability, and care requirements make them inaccessible to most blind or low vision (BLV) individu…

cs.RO2024

Vid2Real HRI: Align video-based HRI study designs with real-world settings

Elliott Hauser, Yao-Cheng Chan, Sadanand Modak +2

HRI research using autonomous robots in real-world settings can produce results with the highest ecological validity of any study modality, but many difficulties limit such studies…

cs.RO2024★ 1 cited

SYNAPSE: SYmbolic Neural-Aided Preference Synthesis Engine

Sadanand Modak, Noah Patton, Isil Dillig +1

This paper addresses the problem of preference learning, which aims to align robot behaviors through learning user specific preferences (e.g. "good pull-over location") from visual…

cs.RO2024

Towards Robotic Companions: Understanding Handler-Guide Dog Interactions for Informed Guide Dog Robot Design

Hochul Hwang, Hee-Tae Jung, Nicholas A Giudice +3

Dog guides are favored by blind and low-vision (BLV) individuals for their ability to enhance independence and confidence by reducing safety concerns and increasing navigation effi…