OK-Robot: What Really Matters in Integrating Open-Knowledge ...
Despite these advancements, general-purpose applications of robotics still lag behind, even though they rely on these fundamental capabilities of recognition, navigation, and grasping. In …
NeRFs in Robotics: A Survey - NASA/ADS
Thus, we present this survey to provide a comprehensive understanding of NeRFs in the field of robotics. By exploring the advantages and limitations of NeRF as well as its current …
A Survey on Robotics with Foundation Models: toward Embodied ...
This survey aims to provide a comprehensive and up-to-date overview of foundation models in robotics, focusing on autonomous manipulation and encompassing high-level planning and …
Large Language Models and 3D Vision for Intelligent Robotic ...
With the rapid advancement of artificial intelligence and robotics, the integration of Large Language Models (LLMs) with 3D vision is emerging as a transformative approach to …
Neural Fields in Robotics: A Survey - NASA/ADS
This paper provides a thorough review of Neural Fields in robotics, categorizing applications across various domains and evaluating their strengths and limitations, based on over 200 papers.
Deep Reinforcement Learning for Robotics: A Survey of Real ...
This article provides a modern survey of DRL for robotics, with a particular focus on evaluating the real-world successes achieved with DRL in realizing several key robotic competencies.
Robotic World Model: A Neural Network Simulator for Robust ...
ADS Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics Li, Chenhao ; Krause, Andreas ; Hutter, Marco