Archive 19.12.2023

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Improving a robot’s self-awareness by giving it proprioception

A pair of roboticists at the Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, in Germany, has found that it is possible to give robots some degree of proprioception using machine-learning techniques. In their study reported in the journal Science Robotics, Fernando Díaz Ledezma and Sami Haddadin developed a new machine-learning approach to allow a robot to learn the specifics of its body.

Researchers create ‘Mugatu,’ the first steerable bipedal robot with only one motor

Small robots are important tools for the investigation and inspection of, well, small spaces. They can carefully place their steps, allowing them to navigate around obstacles, capabilities larger robots do not always possess. This can enable them to inspect machinery or search through rubble in disaster scenarios that other robots cannot reach. However, due to their size constraints, building small robots that can steer themselves and carry their own power sources is difficult.

FunSearch: Making new discoveries in mathematical sciences using Large Language Models

In a paper published in Nature, we introduce FunSearch, a method for searching for “functions” written in computer code, and find new solutions in mathematics and computer science. FunSearch works by pairing a pre-trained LLM, whose goal is to provide creative solutions in the form of computer code, with an automated “evaluator”, which guards against hallucinations and incorrect ideas.

FunSearch: Making new discoveries in mathematical sciences using Large Language Models

In a paper published in Nature, we introduce FunSearch, a method for searching for “functions” written in computer code, and find new solutions in mathematics and computer science. FunSearch works by pairing a pre-trained LLM, whose goal is to provide creative solutions in the form of computer code, with an automated “evaluator”, which guards against hallucinations and incorrect ideas.

Gathering more effective human demonstrations to teach robots new skills

To effectively assist humans in real-world settings, robots should be able to learn new skills and adapt their actions based on what users require them to do at different times. One way to achieve this would be to design computational approaches that allow robots to learn from human demonstrations, for instance observing videos of a person washing dishes and learning to repeat the same sequence of actions.

Cognitive strategies for augmenting the body with a wearable, robotic arm

Neuroengineer Silvestro Micera has developed advanced technological solutions to help people regain sensory and motor functions that have been lost due to traumatic events or neurological disorders. Until now, he had never before worked on enhancing the human body and cognition with the help of technology.

Humanoid robot working in a Spanx warehouse

In what GXO Logistics calls "a proof-of-concept pilot," a human-centric machine by that name is moving tote boxes in a Spanx warehouse in Flowery Branch, Georgia, that is managed by the global, Connecticut-based company. The 5-foot, 9-inch robot does "repetitive tasks" in a warehouse like moving items onto conveyor belts, according to GXO spokeswoman Fallon McLoughlin.
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