Neural Scaling Laws for Embodied AI
S Sartor, N Thompson - arXiv preprint arXiv:2405.14005, 2024 - arxiv.org
Scaling laws have driven remarkable progress across machine learning domains like
language modeling and computer vision. However, the exploration of scaling laws in …
language modeling and computer vision. However, the exploration of scaling laws in …
Recommendations for designing conversational companion robots with older adults through foundation models
Companion robots are aimed to mitigate loneliness and social isolation among older adults
by providing social and emotional support in their everyday lives. However, older adults' …
by providing social and emotional support in their everyday lives. However, older adults' …
Logic Learning from Demonstrations for Multi-step Manipulation Tasks in Dynamic Environments
Learning from Demonstration (LfD) stands as an efficient framework for imparting human-
like skills to robots. Nevertheless, designing an LfD framework capable of seamlessly …
like skills to robots. Nevertheless, designing an LfD framework capable of seamlessly …
Beyond Text: Improving LLM's Decision Making for Robot Navigation via Vocal Cues
This work highlights a critical shortcoming in text-based Large Language Models (LLMs)
used for human-robot interaction, demonstrating that text alone as a conversation modality …
used for human-robot interaction, demonstrating that text alone as a conversation modality …
PWM: Policy Learning with Large World Models
Reinforcement Learning (RL) has achieved impressive results on complex tasks but
struggles in multi-task settings with different embodiments. World models offer scalability by …
struggles in multi-task settings with different embodiments. World models offer scalability by …
GPT-Fabric: Folding and Smoothing Fabric by Leveraging Pre-Trained Foundation Models
V Raval, E Zhao, H Zhang, S Nikolaidis… - arXiv preprint arXiv …, 2024 - arxiv.org
Fabric manipulation has applications in folding blankets, handling patient clothing, and
protecting items with covers. It is challenging for robots to perform fabric manipulation since …
protecting items with covers. It is challenging for robots to perform fabric manipulation since …
LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Rendering and Control
This paper aims to advance the progress of physical world interactive scene reconstruction
by extending the interactive object reconstruction from single object level to complex scene …
by extending the interactive object reconstruction from single object level to complex scene …
DegustaBot: Zero-Shot Visual Preference Estimation for Personalized Multi-Object Rearrangement
De gustibus non est disputandum (" there is no accounting for others' tastes") is a common
Latin maxim describing how many solutions in life are determined by people's personal …
Latin maxim describing how many solutions in life are determined by people's personal …
CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments
We present ConVOI, a novel method for autonomous robot navigation in real-world indoor
and outdoor environments using Vision Language Models (VLMs). We employ VLMs in two …
and outdoor environments using Vision Language Models (VLMs). We employ VLMs in two …
MetaFruit Meets Foundation Models: Leveraging a Comprehensive Multi-Fruit Dataset for Advancing Agricultural Foundation Models
Fruit harvesting poses a significant labor and financial burden for the industry, highlighting
the critical need for advancements in robotic harvesting solutions. Machine vision-based fruit …
the critical need for advancements in robotic harvesting solutions. Machine vision-based fruit …