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Nuclear power stations could be decommissioned in the future with the help of teams of autonomous robots known as the SMuRFs, scientists have suggested.

Roboticists have been trying to develop robots that can tackle various everyday house chores, such as washing dishes or tidying up, for several years. However, so far none of the robots created has been commercialized adopted on a large scale.

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.

New machines can improve conditions for workers and boost industrial productivity.

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.

Alone at home, your bones creaky due to old age, you crave a cool beverage. You turn to your robot and say, "Please get me a tall glass of water from the refrigerator." Your AI-trained companion obliges. Soon, your thirst is quenched.

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.

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.

A new thesis from Umeå University shows how robots can manage conflicts and knowledge gaps in dialogues with people. By understanding the reasons behind dialogues that don't unfold as expected, researchers have developed strategies and mechanisms that could be important when living side by side.

In recent years, roboticists and computer scientists have introduced various new computational tools that could improve interactions between robots and humans in real-world settings. The overreaching goal of these tools is to make robots more responsive and attuned to the users they are assisting, which could in turn facilitate their widespread adoption.

To best move in their surrounding environment and tackle everyday tasks, robots should be able to perform complex motions, effectively coordinating the movement of individual limbs. Roboticists and computer scientists have thus been trying to develop computational techniques that can artificially replicate the process through which humans plan, execute, and coordinate the movements of different body parts.

A trio of roboticists from KM-RoBoTa Sàrl, École Polytechnique Fédérale de Lausanne and Verity AG, all in Switzerland, has found that a pair of reptilian robots they built for use in a BBC documentary back in 2016 may now offer a novel means for studying marine life and could also be used in disaster efforts.

A research team led by Prof. Tian Xingyou and Prof. Zhang Xian from the Hefei Institutes of Physical Science (HFIPS) of the Chinese Academy of Science (CAS) have utilized liquid metal to construct Liquid metal/Polyimide/Polytetrafluoroethylene (LM/PI/PTFE) programmable photothermal actuators based on asymmetric thermal expansion.

A team of roboticists at Technical University of Munich, in Germany, working with a colleague from Sun Yat-sen University, in China, has improved the nimbleness of a quadruped robot by adding a flexible spine and tail. The group has reported on their project in the journal Science Robotics.

Soft grippers have advantages in human-machine interactions, but most of them suffer from low response time. Bistable structures could improve this characteristic, but the performance of current bistable grippers is limited by their predefined structural parameters and grasping modes.