VivaTech, Paris, May 24-26 on stand D48
Automatica, Munich, June 19-22 in the Start-up arena.
Our vision is to make intelligent robots available to everyone – to help us in manufacturing, in the office and at home. Sensors are a key technology to bring robots “out of the cage”, but current sensor systems are complex and expensive.
RoVi offers the world's first completely camera-based sensor system for robot arms and grippers. Our patented solution relies on an image processing software and features rich sensory feedback.
On the robot itself, low-cost passive elements substitute electronic sensors for joint positions, force/torque and tactile data. Positions are determined using visual markers, while force sensing relies on deformable elements, such as rubber foam. These elements are remotely observed by a camera, and our computer vision software calculates the pysical measurements from the image.
Rovi’s sensor software greatly simplifies the mechanics, hardware design and wiring of robot arms – and thus enables their use in low-cost automation, service robotics and consumer applications. The robot is continuously auto-calibrated, enabling the use of low-cost structural parts even for precise manipulation tasks.
Joint position sensors or encoders are indispensible for any robot arm. Our technology determines the joint states remotely, using only a camera and an image processing software. The software accurately localizes patterns on the robot arm, indicated in green in the picture, and calucates calculates the joint positions from these visual measurments.
These sensors measure 3D force and 3D torque, usually between the robot arm and the tool. They allow for force control and teaching of motions. Our solution relies on a very simple passive, elastic structure, which bends when forces are applied. This bending is observed by the camera and converted to a force/torque signal by our image processing software.
Tactile sensors provide a pressure or contact profile, similar to touch we feel on our skin. They offer rich feedback about the grasping process and are thus essential for adaptive and sensitive grasping processes. RoVi's camera-based solution requires only a passive and low-cost foam bar on the fingers, which deforms on pressure. Our image processing software derives a tactile signal from the observed deformation.
The following shows some exemplary use cases and applications for robots using our sensing system. Do not hesitate to tell us about your application! We will provide a quick evaluation of what our technology can do to solve your automation problem!
Our camera-based sensing technology enables lightweight, low-cost and mobile robot arms. They fit on any desk or workbench to assist a human worker. With integrated computer vision, they are easily adaptable and can detect objects.
Take your grasping applications to the next level! Handle objects of different shapes, rigidity and material with a single versatile and self-adapting gripper. With our tactile sensor, you get rich feedback about the grasped object and the grasping state.
Commission small parts such as screws, fittings or plastic part in exact quanities for packagaing or for subsequent worksteps. The robot can do this step even right on the workbench using our versatile grasping system, or any another manipulator.
Monitor the status of your automation systems by adding our software-based sensors. Data and statistics are processed on-site or in the cloud and presented on any web browser.
Package parts or components provided by a machine or a human worker. Our camera-based system flexibly localizes new parts, picks them and places them to a free spot.
This flyer explains our intelligent gripping system for flexible and sensitive grasping applications.
This demo video shows the fully camera-based control of a "sensorless" robot arm.
This video shows how we build a sensitive gripper from low-cost, 3D-printed parts and presents the rich feedback provided by our tactile sensor.
RoVi was founded by three engineers as a spin-off from Technical University of Munich (TUM). Our common vision is to create robots that improve our daily lives. Robots that are simple and low-cost yet smart enough to take over dull, dirty and dangerous tasks.
Nicolas and Clemens have been working together for several years in the field of robotics. Our camera-based sensing technology mainly comes from Nicolas' research in computer vision and visuo-haptic perception. Clemens' research focus was in haptics and telepresence. Stefan is an experienced electronics and hardware engineer.
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