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A method for 3D printing of a robot element, more particularly a finger for use in robotics. At least one sensor is concomitantly printed by means of multi-material printing during the printing of the robot element. A gripping element produced by a method of this kind includes a number of printed layers of robot element material and a concomitantly printed sensor.
PROBLEM TO BE SOLVED: To provide a method of producing a robot component, particularly a gripper, the method being capable of being applied multi-functionally and shortening a mounting time to a robot.
SOLUTION: A method of producing a robot component, particularly a finger 5, applied to robotics by a three-dimensional printing method of this invention comes not to require other production processes such as attachment of a cover, etc. with a separate sensor or a material (soft, in many cases), etc., by simultaneously printing at least one sensor 7 by multi-material printing while printing the robot component.
Efficient collaborative robotic applications need a combination of speed and separation monitoring, and power and force limiting operations. While most collaborative robots have built-in sensors for power and force limiting operations, there are none with built-in sensor systems for speed and separation monitoring. This paper proposes a system for speed and separation monitoring directly from the gripper of the robot. It can monitor separation distances of up to three meters. We used single-pixel Time-of-Flight sensors to measure the separation distance between the gripper and the next obstacle perpendicular to it. This is the first system capable of measuring separation distances of up to three meters directly from the robot's gripper.
This work compares the performance of Bluetooth Mesh implementations on real chipsets against the ideal implementation of the specification. Measurements are taken in experimental settings and reveal non-idealities in the underlying Bluetooth Low Energy specification in real chipsets and in the implementation of Mesh, which introduces an unruly transmission as well as reception behavior. These effects lead to an impact on transmission rate, reception rate, latency, as well as a more significant impact on the average power consumption.
Time-of-Flight Cameras Enabling Collaborative Robots for Improved Safety in Medical Applications
(2020)
Human-robot collaboration is being used more and more in industry applications and is finding its way into medical applications. Industrial robots that are used for human-robot collaboration, cannot detect obstacles from a distance. This paper introduced the idea of using wireless technology to connect a Time-of-Flight camera to off-the-shelf industrial robots. This way, the robot can detect obstacles up to a distance of five meters. Connecting Time-of-Flight cameras to robots increases the safety in human-robot collaboration by detecting obstacles before a collision. After looking at the state of the art, the authors elaborated the different requirements for such a system. The Time-of-Flight camera from Heptagon is able to work in a range of up to five meters and can connect to the control unit of the robot via a wireless connection.