A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...

Solution also includes a new COM/Python API that exposes the simulation engine to external automation, the company explains..

Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations ...

When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...

You gotta build a "digital twin" of the mess you're actually going to deploy into, especially with stuff like mcp (model context protocol) where ai agents are talking to data sources in real-time.

FANUC America is collaborating with NVIDIA to advance the use of physical AI in industrial robotics, combining automation ...

Microsoft has released version 1.0 of its open-source Agent Framework, positioning it as the production-ready evolution of the project introduced in October 2025 by combining Semantic Kernel ...

Positronic Robotics has launched PhAIL, a benchmark evaluating physical AI models on commercial tasks using throughput and ...

This project models a basic inverting amplifier using Python code generated by an AI large language model. AI could help ...

Dynamic modeling and control are critical for unleashing soft robots’ potential, yet remain challenging due to their complex constitutive behaviors and real-world operating conditions. Bio-inspired ...

Abstract: Model Predictive Control (MPC) and Reinforcement Learning (RL) are two prominent strategies for controlling legged robots. RL learns control policies through system interaction, adapting to ...

This project was conceived to demonstrate the feasibility of high-fidelity imaging system simulation tools, particularly for consumer hardware products. It aligns with advanced industry workflows ...