Category robots in business

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AI unlikely to gain human-like cognition, unless connected to real world through robots, says study

Connecting artificial intelligence systems to the real world through robots and designing them using principles from evolution is the most likely way AI will gain human-like cognition, according to research from the University of Sheffield.

A new AI-based approach for controlling autonomous robots

In the film "Top Gun: Maverick," Maverick, played by Tom Cruise, is charged with training young pilots to complete a seemingly impossible mission—to fly their jets deep into a rocky canyon, staying so low to the ground they cannot be detected by radar, then rapidly climb out of the canyon at an extreme angle, avoiding the rock walls. Spoiler alert: With Maverick's help, these human pilots accomplish their mission.

Mori3: A polygon shape-shifting robot for space travel

By combining inspiration from the digital world of polygon meshing and the biological world of swarm behavior, the Mori3 robot can morph from 2D triangles into almost any 3D object. The EPFL research, which has been published in Nature Machine Intelligence, shows the promise of modular robotics for space travel.

Robot Talk Episode 52 – Sara Bernardini

Claire chatted to Sara Bernardini from Royal Holloway University of London all about decision-making, reconfigurable robots, and oceanography.

Sara Bernardini is a Professor of AI at Royal Holloway University of London, the Principal Research Scientist in AI and Data Science at the National Oceanography Centre and a Fellow at the Alan Turing Institute. Her research in decision-making for autonomous systems lies at the intersection of AI, cognitive robotics, and mathematical optimisation. Most of her work focuses on planning for single-agent and multi-agent systems to enable them to act intelligently in real time despite resource and environmental constraints, noisy or faulty sensors, imperfect abilities and extreme conditions.

Creating magnetic soft robots using fiber-based processes and unidirectional magnetic fields

A team of material scientists and electronic engineers at MIT, has developed a way to create magnetic soft robots by combining fiber-based fabrication systems with mechanical and magnetic programming methods to provide locomotion under unidirectional magnetic fields. In their paper published in the journal Advanced Materials, the group describes how they overcame problems faced by others attempting to create magnetically controlled soft robots and outline the design of the robots they created.
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