The capability of creating tools from daily objects needs abstract thinking, creativity, and problem solving. As such, that complicated capability has been employed emblematically to differentiate supposed “intelligent” animals from those that just follow some fundamental instinctive code.
By that action, bots have now joined the intelligent ranks. This is due to researchers from Georgia Tech’s RAIL (Robot Autonomy and Interactive Learning) research lab, who have generated a robot that can employ resources nearby to finish tasks that need tools. As per the researchers, the robot has a new capability to reason about function, shape, and the attachment of unrelated components.
As per RAIL, the inspiration follows from Apollo 13, during which team members had to brainstorm together an altered carbon dioxide removal system from accessible parts.
After the suit, researchers at RAIL lab, spearheaded by Sonia Chernova (Associate Professor) and drawing on work from former Mike Stilman (Georgia Tech Professor), made a plan by which their robot first studies the shapes of every component so as to identify how one may attach to another.
On a related note, watching new vacuum tag-team of iRobot with the firm’s newest robot mop to clean a room is a wonder. Witnessing the two operating together displays how smart home bots are beginning to converse with each other, in this case via a tech dubbed as Imprint Link, and organize to be more effectual without requiring human interference. But these two new robots, and the ones that will follow them, also show the evolution of iRobot’s method to data science, software, and design.
Specifically, the Braava Jet M6 and Roomba S9 show a breakthrough. With the help of Qualcomm chipsets, more memory, smartphone-akin processing, and Imprint Link, the two bots operate together, giving users a glance at the future of robots.