4 citations · 4 across the 5 of their papers we have counts for
4 papers · 1 filter
Text to Robotic Assembly of Multi Component Objects using 3D Generative AI and Vision Language Models
Alexander Htet Kyaw, Richa Gupta, Dhruv Shah +8
Advances in 3D generative AI have enabled the creation of physical objects from text prompts, but challenges remain in creating objects involving multiple component types. We prese…
Declarative Techniques for NL Queries over Heterogeneous Data
Elham Khabiri, Jeffrey O. Kephart, Fenno F. Heath +6
In many industrial settings, users wish to ask questions in natural language, the answers to which require assembling information from diverse structured data sources. With the adv…
What Matters in RL-Based Methods for Object-Goal Navigation? An Empirical Study and A Unified Framework
Hongze Wang, Boyang Sun, Jiaxu Xing +5
Object-Goal Navigation (ObjectNav) is a key capability for deploying mobile robots in everyday environments such as homes, schools, and workplaces. In this task, an agent must loca…
ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies
Shubham Gandhi, Dhruv Shah, Manasi Patwardhan +2
In this paper we introduce ResearchCodeAgent, a novel multi-agent system leveraging large language models (LLMs) agents to automate the codification of research methodologies descr…