Robotics
As sub-symbolic AI, like deep learning, continues to advance, its limitations in safety and reliability are becoming more apparent. Verification and stability are crucial in safety-critical domains such as humanoid robotics, ...
Jun 25, 2024
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Robotics
An international group of researchers has created a new approach to imitating human motion by combining central pattern generators (CPGs) and deep reinforcement learning (DRL). The method not only imitates walking and running ...
May 8, 2024
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144
Robotics
A four-legged robot trained with machine learning by EPFL researchers has learned to avoid falls by spontaneously switching between walking, trotting, and pronking—a milestone for roboticists as well as biologists interested ...
Apr 30, 2024
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90
Robotics
Semi-autonomous and autonomous robots are being introduced in a growing number of real-world environments, including industrial settings. Industrial robots could speed up the manufacturing of various products by assisting ...
Energy & Green Tech
It's a story that's become all too familiar—high winds knock out a power line, and a community can go without power for hours to days, an inconvenience at best and a dangerous situation at worst. UC Santa Cruz Assistant ...
Nov 30, 2023
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Automotive
Unmanned Underwater Vehicles (UUVs) are used around the world to conduct difficult environmental, remote, oceanic, defense and rescue missions in often unpredictable and harsh conditions.
Nov 30, 2023
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44
Robotics
Service robots have started to appear in various daily tasks such as parcel delivery, as guide dogs for the visually impaired, as public servants at airports, or as seen in Joensuu: in the inspection of construction works. ...
Oct 12, 2023
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Software
The physical laws of everyday water flow were established two centuries ago. However, scientists today struggle to simulate disrupted water flow virtually, e.g., when a hand or object alters its flow.
Sep 20, 2023
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Robotics
In a study published in special issue of the journal IET Cyber-Systems and Robotics, researchers from Zhejiang University experienced in legged robot motion and control, pre-trained the neural network (NN) using data from ...
Jul 27, 2023
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Machine learning & AI
In a new dissertation in mathematics, Björn Lindenberg shows how reinforcement learning in AI can be used to create effective strategies for autonomous decision-making in various environments. Reward systems can be developed ...
Jun 13, 2023
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