79 citations · 96 across the 6 of their papers we have counts for
6 papers
HomeEmergency -- Using Audio to Find and Respond to Emergencies in the Home
James F. Mullen, Dhruva Kumar, Xuewei Qi +4
In the United States alone accidental home deaths exceed 128,000 per year. Our work aims to enable home robots who respond to emergency scenarios in the home, preventing injuries a…
"Don't forget to put the milk back!" Dataset for Enabling Embodied Agents to Detect Anomalous Situations
James F. Mullen, Prasoon Goyal, Robinson Piramuthu +3
Home robots intend to make their users lives easier. Our work assists in this goal by enabling robots to inform their users of dangerous or unsanitary anomalies in their home. Some…
LBAP: Improved Uncertainty Alignment of LLM Planners using Bayesian Inference
James F. Mullen, Dinesh Manocha
Large language models (LLMs) showcase many desirable traits for intelligent and helpful robots. However, they are also known to hallucinate predictions. This issue is exacerbated i…
PACE: Data-Driven Virtual Agent Interaction in Dense and Cluttered Environments
James Mullen, Dinesh Manocha
We present PACE, a novel method for modifying motion-captured virtual agents to interact with and move throughout dense, cluttered 3D scenes. Our approach changes a given motion se…
Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Guided Exploration for Zero-Shot Object Navigation
Vishnu Sashank Dorbala, James F. Mullen, Dinesh Manocha
We present LGX (Language-guided Exploration), a novel algorithm for Language-Driven Zero-Shot Object Goal Navigation (L-ZSON), where an embodied agent navigates to a uniquely descr…
Placing Human Animations into 3D Scenes by Learning Interaction- and Geometry-Driven Keyframes
James F. Mullen, Divya Kothandaraman, Aniket Bera +1
We present a novel method for placing a 3D human animation into a 3D scene while maintaining any human-scene interactions in the animation. We use the notion of computing the most…