Robotics

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...

Researchers from Seoul National University Introduces Locomotion-Action-Manipulation (LAMA): A Breakthrough AI Method for Efficient and Adaptable Robot Control

Researchers from Seoul National University address a fundamental challenge in robotics - the efficient and adaptable control of robots in dynamic environments. Traditional robotics...

Can Low-Cost Quadrupedal Robots Master Parkour? Unveiling a Revolutionary Learning System for Agile Robotic Movement

The quest to make robots perform complex physical tasks, such as navigating challenging environments, has been a long-standing challenge in robotics. One of the...

Meet PhysObjects: An Object-Centric Dataset of 36.9K Crowd-Sourced and 417K Automated Physical Concept Annotations of Common Household Objects

In the real world, information is often conveyed through a combination of text images or videos. To understand and interact with this information effectively,...

How Can Robots Make Better Decisions? MIT and Stanford Researchers Introduce Diffusion-CCSP for Advanced Robotic Reasoning and Planning

The capacity to choose continuous values, such as grasps and object placements, that satisfy complicated geometric and physical constraints, like stability and lack of...

MIT Researchers Developed an Artificial Intelligence (AI) Technique that Enables a Robot to Develop Complex Plans for Manipulating an Object Using its Entire Hand

Whole-body manipulation is a strength of humans but a weakness of robots. The robot interprets each possible contact point between the box and the...

Watch and Learn Little Robot: This AI Approach Teaches Robots Generalizable Manipulation Using Human Video Demonstrations

Robots have always been at the center of attention in the tech landscape. They always found a place in sci-fi movies, kid shows, books,...

Meer Pyrus Base: A New Open-Source Python-Based Platform for the Two-Dimensional (2D) Simulation of RoboCup Soccer

Robotics, the branch which is completely dedicated to the field of Electronics and Computer Science Engineering is now being connected to Artificial Intelligence for...

MIT and Harvard Researchers Propose (FAn): A Comprehensive AI System that Bridges the Gap between SOTA Computer Vision and Robotic Systems- Providing an End-to-End...

In a new AI research, a team of MIT and Harvard University researchers has introduced a groundbreaking framework called "Follow Anything" (FAn). The system...

CMU Researchers Developed a Simple Distance Learning AI Method to Transfer Visual Priors to Robotics Tasks: Improving Policy Learning by 20% Over Baselines

A significant barrier to progress in robot learning is the dearth of sufficient, large-scale data sets. Data sets in robotics have issues with being...

Google DeepMind Researchers Introduce RT-2: A Novel Vision-Language-Action (VLA) Model that Learns from both Web and Robotics Data and Turns it into Action

Large language models can enable fluent text generation, emergent problem-solving, and creative generation of prose and code. In contrast, vision-language models enable open-vocabulary visual...

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