Archive 22.09.2022

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Teaching robots to be team players with nature

Algae bloom, birds flock, and insects swarm. This en masse behavior by individual organisms can provide separate and collective good, such as improving chances of successful mating propagation or providing security. Now, researchers have harnessed the self-organization skills required to reap the benefits of natural swarms for robotic applications in artificial intelligence, computing, search and rescue, and much more.

New motion planner for wheeled robots to get around obstacles faster and more efficiently

Skoltech researchers have developed a method to enable wheeled robots to avoid obstacles in a fast, efficient, and natural way when moving in a crowded setting. Reported in IEEE Robotics and Automation Letters, the new motion planner leverages machine learning and could be useful for robotic disinfection, inventory counting, and car parking.

Can eyes on self-driving cars reduce accidents?

Robotic eyes on autonomous vehicles could improve pedestrian safety, according to a new study at the University of Tokyo. Participants played out scenarios in virtual reality (VR) and had to decide whether to cross a road in front of a moving vehicle or not. When that vehicle was fitted with robotic eyes, which either looked at the pedestrian (registering their presence) or away (not registering them), the participants were able to make safer or more efficient choices.
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