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Showing 1 to 14 of 14 for “"embodied ai"”.
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Towards Realistic Embodied AI Agents
… of a growing field of inquiry within the broader AI community termed as "Embodied AI". Problems studied under the umbrella of Embodied AI include the introduction of scene datasets and simulators to train AI agents to perform a wide spectrum of tasks requiring a curriculum of capabilities. While …
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Generalizable Long-Horizon Robotic Manipulation under Uncertainty and Partial Observability
A central goal in embodied artificial intelligence is to enable autonomous agents to accomplish complex, long-horizon tasks in novel, partially observable environments. In these scenarios, agents must effectively reason about uncertainty, generalize from limited experiences, and proactively plan …
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Recognizing actions using embodiment & empathy
Here I demonstrate the power of using embodied artificial intelligence to attack the action recognition problem, which is the challenge of recognizing actions performed by a creature given limited data about the creature's actions, such as a video recording. I solve this problem in the case of a …
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Digital Twin Platform for Drone Applications
… while the persistent sim-to-real gap remains a major challenge. Nevertheless, simulators are indispensable, particularly for deep reinforcement learning (DRL), where extensive data collection in real-world settings is infeasible due to hardware and safety constraints. This thesis presents …
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Teaching and old robot new tricks : learning novel tasks via interaction with people and things
As AI has begun to reach out beyond its symbolic, objectivist roots into the embodied, experientialist realm, many projects are exploring different aspects of creating machines which interact with and respond to the world as humans do. Techniques for visual processing, object recognition, emotional …
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Goal Inference from Open-Ended Dialog
Embodied AI Agents are quickly becoming important and common tools in society. These embodied agents should be able to learn about and accomplish a wide range of user goals and preferences efficiently and robustly. Large Language Models (LLMs) are often used as they allow for opportunities for rich …
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Video as the Language of Embodied Intelligence
Achieving general-purpose embodied intelligence remains a central challenge in artificial intelligence. While recent efforts have extended Large Language Models (LLMs) to robotics by incorporating additional modalities, these adaptations face critical limitations in perception, grounding, and …
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The role of proximity in human-agent trust
… spatial shape human trust and collaboration with embodied agents. As AI systems increasingly operate as social partners in virtual and mixed reality contexts, understanding the mechanisms that foster or erode trust becomes essential for designing effective and reliable human-agent relationships. …
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Zero-shot object-goal navigation using multimodal goal embeddings
… or demonstrations of any kind. Instead, we train on the image-goal navigation (ImageNav) task, in which agents find the location where a picture (i.e., goal image) was captured. Specifically, we encode goal images into a multimodal, semantic embedding space to enable training semantic-goal …
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Machine Learning Approaches for Biosonar Systems: Investigating Dynamic Sensing in Complex Natural Environments
… motion-induced signatures, potentially explaining the evolution of diverse signal types across bat species. These findings have implications for both biological understanding and engineering applications. The demonstrated ability to extract reliable signatures from stochastic backgrounds …
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Toward efficient multi-agent deep reinforcement learning
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms
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Learning for open-world mobile robots
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Robust Embodied Navigation via Active Perception and Human-Agent Interaction
L'abstract è presente nell'allegato / the abstract is in the attachment
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Collaborative embodied agents
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms