Robotics

This AI Research from MIT and Meta AI Unveils an Innovative and Affordable Controller for Advanced Real-Time In-Hand Object Reorientation in Robotics

Researchers from MIT and Meta AI have developed an object reorientation controller that can utilize a single depth camera to reorient diverse shapes of...

Meet GO To Any Thing (GOAT): A Universal Navigation System that can Find Any Object Specified in Any Way- as an Image, Language, or...

A team of researchers from the University of Illinois Urbana-Champaign, Carnegie Mellon University, Georgia Institute of Technology, University of California Berkeley, Meta AI Research,...

This AI Paper from MIT Introduces a Novel Approach to Robotic Manipulation: Bridging the 2D-to-3D Gap with Distilled Feature Fields and Vision-Language Models

A team of researchers from MIT and the Institute of AI and Fundamental Interactions (IAIFI) has introduced a groundbreaking framework for robotic manipulation, addressing...

Duke University Researchers Propose Policy Stitching: A Novel AI Framework that Facilitates Robot Transfer Learning for Novel Combinations of Robots and Tasks

In robotics, researchers face challenges in using reinforcement learning (RL) to teach robots new skills, as these skills can be sensitive to changes in...

Researchers from NVIDIA and UT Austin Introduced MimicGen: An Autonomous Data Generation System for Robotics

Training robots to perform various manipulation behaviors has been made possible by imitation learning from human demonstrations. One popular method involves having human operators...

Researchers at Stanford Introduce RoboFuME: Revolutionizing Robotic Learning with Minimal Human Input

In many domains that involve machine learning, a widely successful paradigm for learning task-specific models is to first pre-train a general-purpose model from an...

Meet HITL-TAMP: A New AI Approach to Teach Robots Complex Manipulation Skills Through a Hybrid Strategy of Automated Planning and Human Control

Teaching robots complicated manipulation skills through observation of human demonstrations has shown promising results. Providing extensive manipulation demonstrations is time-consuming and labor costly, making...

Meet GROOT: A Robust Imitation Learning Framework for Vision-Based Manipulation with Object-Centric 3D Priors and Adaptive Policy Generalization

With the increase in the popularity and use cases of Artificial Intelligence, Imitation learning (IL) has shown to be a successful technique for teaching...

This AI Paper Proposes a NeRF-based Mapping Method that Enables Higher-Quality Reconstruction and Real-Time Capability Even on Edge Computers

In this paper, researchers have introduced a NeRF-based mapping method called H2-Mapping, aimed at addressing the need for high-quality, dense maps in real-time applications,...

Meet the Air-Guardian: An Artificial Intelligence System Developed by MIT Researchers to Track Where a Human Pilot is Looking (Using Eye-Tracking Technology)

In a world where autonomous systems are becoming increasingly prevalent, ensuring their safety and performance is paramount. Autonomous aircraft, in particular, have the potential...

Google DeepMind Releases Open X-Embodiment that Includes a Robotics Dataset with 1M+ Trajectories and a Generalist AI Model (𝗥𝗧-X) to Help Advance How Robots...

The latest advancements in the fields of Artificial Intelligence and Machine Learning have demonstrated the ability of large-scale learning from varied and vast datasets...

Meet ConceptGraphs: An Open-Vocabulary Graph-Structured Representation for 3D Scenes

Capturing and encoding information about a visual scene, typically in the context of computer vision, artificial intelligence, or graphics, is called Scene representation. It...

Galileo Introduces Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High...

0
The Galileo Luna represents a significant advancement in language model evaluation. It is specifically designed to address the prevalent issue of hallucinations in large...

Yandex Introduces YaFSDP: An Open-Source AI Tool that Promises to Revolutionize LLM Training by...

0
Developing large language models requires substantial investments in time and GPU resources, translating directly into high costs. The larger the model, the more pronounced...

Gretel AI Releases a New Multilingual Synthetic Financial Dataset on HuggingFace 🤗 for AI...

0
Detecting personally identifiable information PII in documents involves navigating various regulations, such as the EU’s General Data Protection Regulation (GDPR) and various U.S. financial...

Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with...

0
Snowflake AI Research has launched the Arctic, a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard...

Google DeepMind Releases RecurrentGemma: One of the Strongest 2B-Parameter Open Language Models Designed for...

0
Language models are the backbone of modern artificial intelligence systems, enabling machines to understand and generate human-like text. These models, which process and predict...

Recent articles

🐝 🐝 Join the Fastest Growing AI Research Newsletter...

X