Generative ai for unmanned vehicle swarms: Challenges, applications and opportunities
With recent advances in artificial intelligence (AI) and robotics, unmanned vehicle swarms
have received great attention from both academia and industry due to their potential to …
have received great attention from both academia and industry due to their potential to …
Robogen: Towards unleashing infinite data for automated robot learning via generative simulation
We present RoboGen, a generative robotic agent that automatically learns diverse robotic
skills at scale via generative simulation. RoboGen leverages the latest advancements in …
skills at scale via generative simulation. RoboGen leverages the latest advancements in …
An interactive agent foundation model
The development of artificial intelligence systems is transitioning from creating static, task-
specific models to dynamic, agent-based systems capable of performing well in a wide …
specific models to dynamic, agent-based systems capable of performing well in a wide …
[PDF][PDF] A Comprehensive Survey of Image and Video Generative AI: Recent Advances, Variants, and Applications
In recent years, the field of deep learning has experienced a surge in the popularity of
generative models, largely propelled by the transformative influence of Generative …
generative models, largely propelled by the transformative influence of Generative …
Position Paper: Agent AI Towards a Holistic Intelligence
Recent advancements in large foundation models have remarkably enhanced our
understanding of sensory information in open-world environments. In leveraging the power …
understanding of sensory information in open-world environments. In leveraging the power …
Reinforcement Learning via Auxiliary Task Distillation
We present Reinforcement Learning via Auxiliary Task Distillation (AuxDistill), a new method
that enables reinforcement learning (RL) to perform long-horizon robot control problems by …
that enables reinforcement learning (RL) to perform long-horizon robot control problems 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 …
DiffGen: Robot Demonstration Generation via Differentiable Physics Simulation, Differentiable Rendering, and Vision-Language Model
Generating robot demonstrations through simulation is widely recognized as an effective
way to scale up robot data. Previous work often trained reinforcement learning agents to …
way to scale up robot data. Previous work often trained reinforcement learning agents to …
Advancing Behavior Generation in Mobile Robotics through High-Fidelity Procedural Simulations
This paper introduces YamaS, a simulator integrating Unity3D Engine with Robotic
Operating System for robot navigation research and aims to facilitate the development of …
Operating System for robot navigation research and aims to facilitate the development of …