Social Media Ideas for Adaptive Robots

Scalabot HERON-CRA Adds Context Memory and RL Engine for Embodied Control

Songyan Dynamics' Scalabot brand released HERON-CRA, pairing 4D Context Expert memory, a plug-in RL Engine, and cross-embodiment pretraining, with sock-folding success rising from...

Robot Therapies for Autistic Children Face a Hard Ethical Reckoning

A provocative new analysis has called into question one of the most celebrated promises of social robotics: that friendly machines can ethically help autistic children learn social...

OpenAMRobot 2.0 Adds Dual Arms And Embodied AI

OpenAMRobot 2.0 combines two seven-degree-of-freedom robotic arms, ROS 2 navigation and an embodied AI pipeline for teaching mobile robots tasks through demonstrations. OpenAMRobot...

At the center of physical intelligence and the robot hand

ADI is working with physical world data gathered by sensors it has made over decades to develop robot hands with sensor fusion.

Research could guide the future design of social robots

By the University of Glasgow Giving robot companions animal-like or anime-style faces and voices could maximise their emotional appeal to users, according to new research which cou...

Trial of AI robot for visually impaired people shown in Tokyo

The robot is being developed by the National Museum of Emerging Science and Innovation with the aim of eventually offering it as a rental service.

Robotics

A humanoid robot by Unitree Robotics competes during a Wushu contest at the 2026 World Humanoid Robot Games. — Reuters

Humanoids Are a Backward-Compatibility Layer

The strongest argument for humanoid robots has nothing to do with walking, grasping, or looking cool in a demo reel. It is a software engineering concept: backward compatibility....

Daimon Robotics launches tactile AI model to give robots a sense of physical interaction

Daimon Robotics has launched Daimon-TWM, a new tactile-grounded world model designed to enable robots to interpret physical interactions such as force, friction, deformation and sl...

Adaptive Motion Planning And Tracking For Humanoid Robots

Preserving pro-level motion style in humanoid robots remains a challenge, and this new adaptive framework tackles it by decoupling high-level planning from low-level tracking using...

X-Humanoid Sets Out Its Roadmap for a Unified Embodied Model and Self-Evolving Robot Policies

At ROSCon China 2026, the Beijing center described four levels of generalization and a layered data plan built around a world model simulator, and introduced Pelican-Unify.

OpenAI's Altman teases humanoid demo in 2027

The company is moving from robot hand dexterity to how the humanoid brain relies on AI models

Reimagining robotics for sustainability

Robots are often promoted for their increasing intelligence and autonomy. Yet a growing body of research suggests that a robot's contribution to sustainability goals may be an equa...

U.S. Army scouts armored humanoids for risky missions

The U.S. Army has picked five winners in a competition to test how commercial humanoid robots could be used by the military, including a two-legged robot called Alex that is built...

Developing AI Agents for Disability and Self Determination [Testμ 2026]

Dr. Lisa Dieker on co-designing AI agents with disabled users, why Project RAISE dropped facial tracking, and why compliance is not the same as accessibility.

Robot guide dog debuts in China amid severe lack of furry counterparts

A Chinese defence industry research facility has unveiled what it calls the world’s first wheeled and legged robot guide dog for visually impaired people, in an example of the sect...

Skild AI trains robots to learn physical skills through self-play

Skild AI has demonstrated a new self-play training approach that enables robots to develop physical skills without relying on human demonstrations, using its S1 robotics foundation...

Physical AI in the real world: Four requirements for reliable robot manipulation

By Thomas Houden, director of global business development, OnRobot  Physical AI promises robots that can perceive, act and adapt in the physical world with far less task-specific e...

Skylark Labs researchers develop AI system that enables robots to keep learning after deployment

Most AI-powered robots effectively stop learning once they are deployed. Researchers at Skylark Labs, working with academics from Carnegie Mellon University and the University of C...

AgiBot Ships AGILE 2.0 Sense–Control Model for Open-World Locomotion

AgiBot released AGILE 2.0, an end-to-end sense–control locomotion model that couples vision, terrain reasoning and whole-body loco-manipulation, complementing its separately detail...

AI Companies Promise Humanoid Assistants. How Will the Robots Know What To Do?

Developers are using videos of real-life work to train the new generation of robots.

Adorable waddling robot can pick up stuff and learn new tricks

Students Push Open-Source AI For Smarter Humanoid Robots

Open-source humanoid robotics programme lets students train AI-driven behaviours in simulation, test them on physical robots, and develop practical skills through experimentation a...

Humanoid robots can sprint and box – but the real test is doing the laundry

By Wai-keung Fung, Cardiff Metropolitan University At the recent World Humanoid Robot Games 2026 in Beijing, robots sprinted, boxed, played football and tackled tasks inspired by f...