Controllers

X Square Robot has raised $140 million to build the WALL-A model for general-purpose robots just four months after raising $100 million.

We look back at some of the many robots that iRobot developed in addition to the Roomba over the past 35 years. 

Otis developed APIs allowing autonomous robots to communicate with and navigate elevators in commercial buildings.

With Newlab, Flexxbotics, which digitalizes industrial automation, is establishing a presence in the heart of U.S. manufacturing.

iREX 2025 included Japanese and Chinese innovations and partnerships, as well as physical AI advances, says this strategic analysis.

A team of MIT researchers created a speech-to-reality system that enables a robot to build furniture with just a simple request.

Inbolt said its new guidance system on robot arms enables flexible, fast, accurate, and low-cost bin picking for unstructured environments.

Yaskawa Electric and Softbank plan to enable human-robot collaboration and more tasks by integrating AI and communications. 

Flexion is using generative AI to build AI models that can automate tasks involving reasoning, writing, and creativity.

Miniaturization offers robotics designers new levels of power efficiency, nimbleness, and precision for a range of applications.

With Universal Robots cobots and its own software, Viam has developed an AI-powered surfacing system for shipbuilding.

The TU Delft researchers said their algorithm enables drones to carry heavier payloads together, even in windy conditions.

Lucid Bots has added painting capabilities to its Sherpa drone, automating commercial coating at scale to meet infrastructure demand.

Auterion said its Series B round demonstrates investor confidence that AI-enabled software will transform the battlefield.

A whole-body control foundation model could help launch humanoid robots toward general-purpose capability, says Agility Robotics.

igus, which is best known for motion plastics, will show its Fairino FR20 collaborative palletizing robot in Las Vegas.

For robots to be predictable and adaptive, they need a priority-based architecture and a new legal model, argues a researcher.

Ai2 said MolmoAct is trained entirely on open data, designed for transparency, and built for real-world generalization.

ShengShu says its Vidar embodied AI model combines physical data and simulated video for a more scalable path to training real-world robots.

FORT Robotics plans to use its latest funding to continue innovating in safety for robotics and physical AI.

In the future, PrismaX said its teleoperation platform will enable access to a variety of humanoid robots.

Corsha plans to use its latest funding to accelerate its machine identity platform to protect the growing robotics and AI ecosystem.