Surveillance and exploration of large environments is a tedious task. In spaces with limited environmental cues, random-like search appears to be an effective approach as it allows the robot to perform online coverage of environments using a simple design. One way to generate random-like scanning is to use nonlinear dynamical systems to impart chaos into the robot's controller. This will result in generation of unpredictable but at the same time deterministic trajectories, allowing the designer to control the system and achieve a high scanning coverage. However, the unpredictability comes at the cost of increased coverage time and lack of scalability, both of which have been ignored by the state-of-the-art chaotic path planners. This study introduces a new scalable technique that helps a robot to steer away from the obstacles and cover the entire space in a short period of time. The technique involves coupling and manipulating two chaotic systems to minimize the coverage time and enable scanning of unknown environments with different properties online. Using this technique resulted in 49% boost, on average, in the robot's performance compared to the state-of-the-art planners. While ensuring unpredictability in the paths, the overall performance of the chaotic planner remained comparable to optimal systems.

While Apex Legends isn't a game made for hand-to-hand fighting, players occasionally settle the quest to become champion with an impromptu boxing match between the two remaining teams. Now that fight is going to be a part of the game, at least for a little while, as the Fight Night collection event rolls out during season seven. The game's developer, Respawn, has frequently added reshaped portions of the map around certain characters, and this "town takeover" is dedicated to Pathfinder, the robot with a collectible heirloom item of boxing gloves. The new area is a special zone where the usual guns. There are also loot balls that you can punch out to collect high-level items, although they're no use within the zone itself.