• A technique to plan paths for multiple robots in flexible formations
    Multi-robot systems have recently been used to tackle a variety of real-world problems, for instance, helping human users to monitor environments and access secluded locations. In order to navigate unknown and dynamic environments most efficiently, these robotic systems should be guided by path planners, which can identify collision-free trajectories for individual robots in a team.

  • Army researchers create pioneering approach to real-time conversational AI
    Spoken dialogue is the most natural way for people to interact with complex autonomous agents such as robots. Future Army operational environments will require technology that allows artificial intelligent agents to understand and carry out commands and interact with them as teammates.

  • Tailing new ideas: Cheetah-inspired design enables better robot movement
    From lizards to kangaroos, many animals with tails possess an agility that allows them to turn or self-right after a foot slip. Cheetahs demonstrate tremendous precision and maneuverability at high speeds due, in part, to their tails. Translating this performance to robots would allow them to move more easily through natural terrain. However, adding a tail to a robot carries disadvantages like increased mass, high inertia, and a higher energy cost.

  • Baubot comes out with two new robots to aid in construction projects
    Despite artificial intelligence and robotics adapting to many other areas of life and the work force, construction has long remained dominated by humans in neon caps and vests. Now, the robotics company Baubot has developed a Printstones robot, which they hope to supplement human construction workers onsite.

  • Biorobotics lab builds submersible robot snake
    Carnegie Mellon University’s acclaimed snake-like robot can now slither its way underwater, allowing the modular robotics platform to inspect ships, submarines and infrastructure for damage.

  • A robot that teaches itself to walk using reinforcement learning
    A team of researchers at the University of California, Berkeley, has built a two-legged robot with t he ability to teach itself to walk using reinforcement learning. The team has written a paper describing their work and has uploaded it to the arXiv preprint server.

  • In an AI world we need to teach students how to work with robot writers
    Robots are writing more of what we read on the internet. And artificial intelligence (AI) writing tools are becoming freely available for anyone, including students, to use.

  • Robo-starfish aims to enable closer study of aquatic life
    Biologists have long experienced the challenges of documenting ocean life, with many species of fish proving quite sensitive to the underwater movements of humans.

  • Warm feelings about human-looking robots can turn icy when bots blunder
    If a robot worker makes a mistake on the job, or annoys customers, businesses may not give it a pink slip and a cardboard box for its office belongings, but companies may be forced to shut down these expensive machines, according to a team of researchers.

  • The ulti-mutt pet? Chinese tech company develops robo-dogs
    It’s whip fast, obeys commands and doesn’t leave unpleasant surprises on the floor—meet the AlphaDog, a robotic response to two of China’s burgeoning loves: pets and technology.

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