Robotics

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, 7-billion parameter model not only competes with larger, more resource-intensive models but...
Reinforcement Learning (RL) continuously evolves as researchers explore methods to refine algorithms that learn from human feedback. This domain of learning algorithms deals with challenges in defining and optimizing reward functions critical for training models to...

GeFF: Revolutionizing Robot Perception and Action with Scene-Level Generalizable Neural Feature Fields

When a whirring sound catches your attention, you're walking down the bustling city street, carefully cradling your morning coffee. Suddenly, a knee-high delivery robot...

This AI Research from Google DeepMind Unlocks New Potentials in Robotics: Enhancing Human-Robot Collaboration through Fine-Tuned Language Models with Language Model Predictive Control

In robotics, natural language is an accessible interface for guiding robots, potentially empowering individuals with limited training to direct behaviors, express preferences, and offer...

Google Deepmind and University of Toronto Researchers’ Breakthrough in Human-Robot Interaction: Utilizing Large Language Models for Generative Expressive Robot Behaviors

Numerous challenges underlying human-robot interaction exist. One such challenge is enabling robots to display human-like expressive behaviors. Traditional rule-based methods need more scalability in...

Researchers from Stanford Present Mobile ALOHA: A Low-Cost and Whole-Body Teleoperation System for Data Collection

Since it enables humans to teach robots any skill, imitation learning via human-provided demonstrations is a promising approach for creating generalist robots. Lane-following in...

This Paper Explores Efficient Predictive Control with Sparsified Deep Neural Networks

Robotics is currently exploring how to enhance complex control tasks, such as manipulating objects or handling deformable materials. This research niche is crucial as...

How do You Unveil the Power of GPT-4V in Robotic Vision-Language Planning? Meet ViLa: A Simple and Effective AI Method that Harnesses GPT-4V for...

The problem of achieving superior performance in robotic task planning has been addressed by researchers from Tsinghua University, Shanghai Artificial Intelligence Laboratory, and Shanghai...

Researchers from NYU and Meta Introduce Dobb-E: An Open-Source and General Framework for Learning Household Robotic Manipulation

The team of researchers from NYU and Meta aimed to address the challenge of robotic manipulation learning in domestic environments by introducing DobbE, a...

KAIST Researchers Introduce Quatro++: A Robust Global Registration Framework Exploiting Ground Segmentation for Loop Closing in LiDAR SLAM

The problem of sparsity and degeneracy issues in LiDAR SLAM has been addressed by introducing Quatro++, a robust global registration framework developed by researchers...

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...

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

0
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,...

WizardLM-2: An Open-Source AI Model that Claims to Outperform GPT-4 in the MT-Bench Benchmark

0
A team of AI researchers has introduced a new series of open-source large language models named WizardLM-2. This development is a significant breakthrough in...

MixedBread AI Introduces Binary MRL: A Novel Embeddings Compression Method, Making Vector Search Scalable...

0
Mixedbread.ai recently introduced Binary MRL, a 64-byte embedding to address the challenge of scaling embeddings in natural language processing (NLP) applications due to their...

Grok-1.5 Vision: Elon Musk’s x.AI Sets New Standards in AI with Groundbreaking Multimodal Model

0
Elon Musk's research lab, x.AI, has introduced a new artificial intelligence model called Grok-1.5 Vision (Grok-1.5V) that has the potential to shape the future...

Cohere AI Unveils Rerank 3: A Cutting-Edge Foundation Model Designed to Optimize Enterprise Search...

0
Cohere, an emerging leader in the field of artificial intelligence, has announced the release of Rerank 3, its latest foundation model designed specifically for...

Recent articles

🐝 FREE AI Courses on RAG + Deployment of an Healthcare AI App + LangChain Colab Notebook all included

X