Robotics

FlashAttention-3, the latest release in the FlashAttention series, has been designed to address the inherent bottlenecks of the attention layer in Transformer architectures. These bottlenecks are crucial for the performance of large language models (LLMs) and...
One of the emerging challenges in artificial intelligence is whether next-token prediction can truly model human intelligence, particularly in planning and reasoning. Despite its extensive application in modern language models, this method might be inherently limited...

Researchers at Stanford Propose TRANSIC: A Human-in-the-Loop Method to Handle the Sim-to-Real Transfer of Policies for Contact-Rich Manipulation Tasks

Learning in simulation and applying the learned policy to the real world is a potential approach to enable generalist robots, and solve complex decision-making...

This AI Paper Proposes a Pipeline for Improving Imitation Learning Performance with a Small Human Demonstration Budget

The practical application of robotic technology in automatic assembly processes holds immense value. However, traditional robotic systems have struggled to adapt to the demands...

Google DeepMind’s SIMA Project Enhances Agent Performance in Dynamic 3D Environments Across Various Platforms

The exploration of artificial intelligence within dynamic 3D environments has emerged as a critical area of research, aiming to bridge the gap between static...

From Theory to Robotics: Applying Sums-of-Squares Optimization for Better Control

Reinforcement learning has exhibited notable empirical success in approximating solutions to the Hamilton-Jacobi-Bellman (HJB) equation, consequently generating highly dynamic controllers. However, the inability to...

From Science Fiction to Reality: NVIDIA’s Project GR00T Redefines Human-Robot Interaction

NVIDIA's unveiling of Project GR00T, a unique foundation model for humanoid robots, and its commitment to the Isaac Robotics Platform and the Robot Operating...

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...

NuminaMath 7B TIR Released: Transforming Mathematical Problem-Solving with Advanced Tool-Integrated Reasoning and Python REPL...

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Numina has announced the release of its latest model, NuminaMath 7B TIR. This advanced language model is designed specifically for solving mathematical problems. The...

Tsinghua University Open Sources CodeGeeX4-ALL-9B: A Groundbreaking Multilingual Code Generation Model Outperforming Major Competitors...

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In a significant leap forward for the field of code generation, the Knowledge Engineering Group (KEG) and Data Mining team at Tsinghua University have...

InternLM2.5-7B-Chat: Open Sourcing Large Language Models with Unmatched Reasoning, Long-Context Handling, and Enhanced Tool...

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InternLM has unveiled its latest advancement in open large language models, the InternLM2.5-7B-Chat, available in GGUF format. This model is compatible with llama.cpp, an...

Jina AI Releases Jina Reranker v2: A Multilingual Model for RAG and Retrieval with...

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Jina AI has released the Jina Reranker v2 (jina-reranker-v2-base-multilingual), an advanced transformer-based model fine-tuned for text reranking tasks. This model is designed to significantly...

Google Releases Gemma 2 Series Models: Advanced LLM Models in 9B and 27B Sizes...

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Google has unveiled two new models in its Gemma 2 series: the 27B and 9B. These models showcase significant advancements in AI language processing,...

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