3D-Printed Grippers for Robots That Grip Almost Anything

3D-Printed Grippers for Robots That Grip Almost Anything

University of Washington researchers developed a method for making 3D-printed grippers for robots that are capable of grabbing almost anything.  3D-printed grippers that can grasp almost any object Their method involves an algorithm that can design a 3D-printable passive gripper based on the target object and its position and then calculates the best path to pick it up without collisions.  The University of Washington researchers developed an algorithm that can design a 3D-printable passive gripper to grip almost any object. Tests were performed on 22 objects with challenging shapes, including a 3D-printed bunny, a wedge-shaped doorstop, a tennis ball, and…
Read More
Navigation, Path Planning & Control Using amcl Package

Navigation, Path Planning & Control Using amcl Package

In the previous lesson, we understood what localization, mapping, and SLAM mean in Robotics, we also launched the Turtlebot3 gmapping package in Gazebo, and drew a global map using the robot's LIDAR (localization + mapping). turtlebot3 gmapping package In this lesson in the series of lessons on ROS tutorials, we will first understand what navigation, path planning, and control mean in robotics. Then, we will launch the navigation package (amcl package) in Gazebo to localize a robot during motion. Afterward, we will set an autonomous motion for a robot starting from the initial pose to the target pose using RVIZ.…
Read More