When a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems.
A new reinforcement learning framework enables dexterous robot hands to grasp diverse objects with human-like robustness and adaptability—using only a single camera.
Suction cup grasping a stone - Image credit: Tianqi Yue
The team, based at Bristol Robotics Laboratory, studied the structures of octopus biological suckers, which have superb adaptive s...
Thanks to those that sent and suggested AI and robotics-themed holiday videos, images, and stories. Here’s a sample to get you into the spirit this season....
By Farshad Arvin, Martin Stefanec, and Tomas Krajnik
Be it the news or the dwindling number of creatures hitting your windscreens, it will not have evaded you that the insect world in bad shape.
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By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.
Humans carrying out quality assurance tasks spotted fewer errors when they had been told that robots had already checked a piece, suggesting they relied on the robots and paid less attention to the work.
Natural language has the potential to be an easy-to-use interface for humans to specify arbitrary tasks, but it is difficult to train robots to follow language instructions.
Researchers who created a soft robot that could navigate simple mazes without human or computer direction have now built on that work, creating a “brainless” soft robot that can navigate more complex and dynamic environments.
Produced with techniques borrowed from Japanese paper-cutting, the strong metal lattices are lighter than cork and have customizable mechanical properties.
Scientists found that students given a task by a social robot with a voice programmed to be engaging and inspiring performed better and were more creative than students who received the task from an identical robot with a flat voice.
In experiments conducted with both real and simulated robots, we show how blockchain technology enables a robot swarm to neutralize harmful robots without human intervention, thus enabling the deployment of autonomous and safe robot swarms.