Can an Embodied Agent Find Your “Cat-shaped Mug”? LLM-Based Zero-Shot Object Navigation VS Dorbala, JF Mullen, D Manocha IEEE Robotics and Automation Letters 9 (5), 4083-4090, 2023 | 83 | 2023 |
Communicating inferred goals with passive augmented reality and active haptic feedback JF Mullen, J Mosier, S Chakrabarti, A Chen, T White, DP Losey IEEE Robotics and Automation Letters 6 (4), 8522-8529, 2021 | 38 | 2021 |
Comparing the effects of annotation type on machine learning detection performance JF Mullen Jr, FR Tanner, PA Sallee Proceedings of the ieee/cvf conference on computer vision and pattern …, 2019 | 29 | 2019 |
Machine learning using informed pseudolabels PA Sallee, J Mullen, F Tanner US Patent 11,669,724, 2023 | 15 | 2023 |
Placing human animations into 3d scenes by learning interaction-and geometry-driven keyframes JF Mullen, D Kothandaraman, A Bera, D Manocha Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 8 | 2023 |
Towards Robots That Know When They Need Help: Affordance-Based Uncertainty for Large Language Model Planners JF Mullen Jr, D Manocha arXiv preprint arXiv:2403.13198, 2024 | 6 | 2024 |
Computer architecture for object detection using point-wise labels J Goldstein, PA Sallee, J Mullen, F Tanner US Patent 11,068,747, 2021 | 6 | 2021 |
Deep neural network hardener PA Sallee, J Mullen US Patent 12,141,238, 2024 | 4 | 2024 |
" Don't forget to put the milk back!" Dataset for Enabling Embodied Agents to Detect Anomalous Situations JF Mullen Jr, P Goyal, R Piramuthu, M Johnston, D Manocha, ... arXiv preprint arXiv:2404.08827, 2024 | 2 | 2024 |
PACE: Data-Driven Virtual Agent Interaction in Dense and Cluttered Environments JF Mullen, D Manocha IEEE Transactions on Visualization and Computer Graphics 29 (5), 2536-2546, 2023 | 2 | 2023 |
Systems and methods for multi-factor pathfinding R Nigam, J Mullen US Patent 11,726,482, 2023 | 1 | 2023 |