TurboVLA: Robot Gets Commands Several Times Faster at a 97% Success Rate Thanks to Swapping the LLM for BERT

3 August 2026
TurboVLA model robot munipulation

TurboVLA: Robot Gets Commands Several Times Faster at a 97% Success Rate Thanks to Swapping the LLM for BERT

Researchers from Huazhong University of Science and Technology and Huawei have released TurboVLA, a compact vision-language-action model that produces robot actions in 31.2 ms on a consumer-grade RTX 4090 and…

LFM2.5-230M: An Ultra-Compact Model Runs on a Raspberry Pi and Almost Any Modern Phone

29 June 2026
liquid AI

LFM2.5-230M: An Ultra-Compact Model Runs on a Raspberry Pi and Almost Any Modern Phone

Liquid AI released LFM2.5-230M — one of the smallest language models out there today, at just 230 million parameters. It’s compact enough to run on a small device without trouble:…

Hugging Face and Pollen Robotics Introduce Reachy2 – an Open-Source Robot for Household Tasks

10 June 2024

Hugging Face and Pollen Robotics Introduce Reachy2 – an Open-Source Robot for Household Tasks

Hugging Face and Pollen Robotics unveiled the anthropomorphic robot Reachy2, whose training dataset and model are open-source. Reachy2 performs household tasks and interacts safely with people and pets. Pollen Robotics…

NVIDIA DrEureka Model Accelerates Robot Training Faster Than Humans

12 May 2024
nvidia dreureka

NVIDIA DrEureka Model Accelerates Robot Training Faster Than Humans

NVIDIA has demonstrated that large language models can expedite robot training. Robots with four limbs trained using the DrEureka model outperform standard learning systems by 34% in real-world movement speed…

NVIDIA Eureka: Agent for Autonomous Robot Learning

22 October 2023

NVIDIA Eureka: Agent for Autonomous Robot Learning

NVIDIA has unveiled Eureka, an open-source agent based on GPT-4, designed to teach robots complex skills such as performing tricks and handling scissors. This breakthrough leverages the power of large…

PIGINet: Generating Optimal Sequence of Robot Actions

30 July 2023
robotic tasks piginet

PIGINet: Generating Optimal Sequence of Robot Actions

MIT researchers have introduced PIGINet, a neural network designed to teach robots how to navigate through various tasks. PIGINet evaluates potential action sequences based on task descriptions, scene images, and…

Robot trained to manipulate tissue at University of California

5 March 2021

Robot trained to manipulate tissue at University of California

Researchers from the University of California and the Honda Research Institute trained a robot to fold fabric. The algorithm is based on a framework for teaching visual dynamics of objects…