A new technique helps a nontechnical user understand why a robot failed, and then fine-tune it with minimal effort to perform a task effectively.

PIGINet leverages machine learning to streamline and enhance household robots' task and motion planning, by assessing and filtering feasible solutions in complex environments.

New soft-bodied robots that can be controlled by a simple magnetic field are well suited to work in confined spaces.

A new computational method facilitates the dense placement of objects inside a rigid container.

A new AI-based approach for controlling autonomous robots satisfies the often-conflicting goals of safety and stability.

Researchers create new simulation tool for robots to manipulate complex fluids in a step toward helping robots more effortlessly assist with daily tasks.

SoftZoo is a soft robot co-design platform that can test optimal shapes and sizes for robotic performance in different environments.

Rather than start from scratch after a failed attempt, the pick-and-place robot adapts in the moment to get a better hold.

New repair techniques enable microscale robots to recover flight performance after suffering severe damage to the artificial muscles that power their wings.

Robotic parts could be assembled into nimble spider bots for exploring lava tubes or heavy-duty elephant bots for transporting solar panels.