AI Briefing#robotics
The latest AI and developer news about #robotics, with the original source and a short summary.
The latest AI and developer news about #robotics, with the original source and a short summary.
We introduce ENPIRE, an autonomous research framework in which a coding agent learns and improves manipulation policies for real robots on its own.
Anthropic reportedly did hold actual acquisition talks with robotics AI startup Physical Intelligence.
Travis Kalanick's industrial automation company Atoms has raised $1.7 billion in a round led by a16z.
Xiaomi has unveiled a robot foundation model trained on 100,000 hours of embodiment-free data.
Xiaomi has unveiled Xiaomi-Robotics-1, a robot policy model built on 100,000 hours of embodiment-agnostic pretraining.
NVIDIA has unveiled Cosmos 3 Edge, a 4B-parameter open world model for edge devices.
NVIDIA has released Cosmos 3 Edge, a 4B-parameter world model capable of real-time inference on edge devices.
OpenBMB has released an open-source Embodied AI model series for robot manipulation and tracking.
Introduces the latest reinforcement learning research trends for solving real-world problems, as discussed at ICLR 2021.
Introducing SWAT, a general-purpose policy model that leverages structural embeddings to reflect a robot's morphological information.
Through Parameterized Subtask Graph Inference (PSGI), AI's generalization performance on untrained new entities and tasks has been improved.
This introduces research that combines Reinforcement Learning (RL) with Graph Neural Networks (GNN) to process complex data and learn general-purpose policies.
This post covers the concept and key technical directions of Robot Foundation Models (RFM), robots that perform tasks by directly interacting within physical environments.
We look at the two core technical directions of Robot Foundation Models (RFM), which go beyond LLMs in virtual worlds to interact with the physical environment.
NVIDIA unveiled the Jetson T3000/T2000, compact high-performance modules for robots and edge AI.
NVIDIA has launched the Jetson T3000 and T2000 modules based on the Thor architecture, targeting the robotics and edge AI markets.
Anthropic analyzed the correlation between models and interfaces through the Embody benchmark, which measures LLMs' ability to control physical robots.
The team unveiled Pan, a 4B-parameter Minecraft agent that leverages internet-scale video data to learn goal-directed behavior.
Papers with Code has launched a dedicated page that consolidates key benchmarks and papers in the robotics and VLA fields.
ASPIRE has been unveiled, a system in which robots learn by debugging their own code and building a skill library.
Tencent has unveiled the RxBrain model, which combines language reasoning and visual imagination to plan robot actions.
Sakana AI has unveiled a distributed hardware system that recognizes its own shape and detects damage without any central control.
Amazon and the University of Michigan have improved robots' ability to learn tactile sensing through the physics-based simulator HydroShear.
Ant Group has open-sourced LingBot-VLA 2.0, a general-purpose VLA model that supports a wide range of robots.