Intellectual hub of the topic
Working with robotic systems requires preliminary algorithm verification in a virtual environment, where the risks of damaging expensive equipment are eliminated. Within this collection, we view simulation systems not merely as software, but as a fundamental tool for designing and testing autonomous agents. Here, you will find materials dedicated to physics engine architecture, sensor modeling precision, and methods for transferring trained models from virtuality to reality (Sim2Real).
AI: Events
Products
Sanctuary AI demonstrated how its hydraulic hand autonomously reorients objects in its grasp, without pre-programmed movements or data labeling.
At GTC 2026, NVIDIA demonstrated how digital twins of the real world are becoming a key tool for training robots and autonomous systems.
EgoVerse is an open-source system for training robots using human first-person video, developed by a consortium of leading research teams.
AI: Events
Products
NVIDIA has introduced new tools that integrate simulation, machine learning, and embedded computing into a unified workflow for robot creation.
The Ai2 research institute has taught robots to operate in the physical world without collecting any real-world data – relying solely on simulations. We explore why this represents a pivotal shift for the entire robotics industry.
Hugging Face has released a major update for the LeRobot platform – it now supports more robots, new training algorithms, and remote control over the network.
Lab
Biology & Neuroscience
What if a robot could be both a shepherd and a leader? Scientists have created an algorithm that analyzes group behavior and changes tactics on the fly.
Alibaba DAMO Academy has unveiled RynnBrain, an open-source model for robot control capable of interpreting its environment and making real-world decisions.
AI: Events
Research
The Allen Institute for AI has unveiled MolmoSpaces – a toolkit for developing AI capable of controlling robots and functioning in physical space.
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