Robotics

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 (π—₯𝗧-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...

Shanghai Jiao Tong University Researchers Unveil RH20T: The Ultimate Robotic Dataset Boasting 110K Sequences, Multimodal Data, and 147 Diverse Tasks

Robotic manipulation is advancing towards the goal of enabling robots to swiftly acquire new skills through one-shot imitation learning and foundational models. While the...

Researchers from UT Austin Introduce MUTEX: A Leap Towards Multimodal Robot Instruction with Cross-Modal Reasoning

Researchers have introduced a cutting-edge framework called MUTEX, short for "MUltimodal Task specification for robot EXecution," aimed at significantly advancing the capabilities of robots...

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

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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...

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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...

Finally, the Wait is Over: Meta Unveils Llama 3, Pioneering a New Era in...

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Meta has revealed its latest large language model, the Meta Llama 3, which is a major breakthrough in the field of AI. This new model is not just...

TrueFoundry Releases Cognita: An Open-Source RAG Framework for Building Modular and Production-Ready Applications

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The field of artificial intelligence is rapidly evolving, andΒ takingΒ a prototype to production stage can be quite challenging. However, TrueFoundry has recently introduced a new...

Meet Zamba-7B: Zyphra’s Novel AI Model That’s Small in Size and Big on Performance

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In the race to create more efficient and powerful AI models, Zyphra has unveiled a significant breakthrough with its new Zamba-7B model. This compact,...

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