Found in Robotics News & Content, with a score of 5.01
March 24, 2015
…your reputation as a manufacturer. There is a common perception that improving the quality of products being produced can be a costly endeavor. And because of the pressure to shrink budgets and maximize the value of systems already in place, it is often an area overlooked in favor of getting product out the door. Flexible automation and intelligent automation systems are tools manufacturers consider adopting to increase production, streamline their processes and cut costs, but there remains the perception that implementing automation is cost prohibitive. However, when improved quality is included in the analysis, the return on investment associated with…
Found in Robotics News & Content, with a score of 5.01
January 09, 2023
…an essential tool helping AI developers to add depth perception to computer vision.” Femto Mega includes NVIDIA processor The Femto Mega's built-in NVIDIA Jetson Nano processor runs depth vision algorithms to convert raw data to precise depth images. This eliminates the need for an external PC or compute device, according to the company. The camera can be directly connected to servers or the cloud using the Power over Ethernet (PoE) connection for both data and power. The device also has USB-C 3.2 and DC power supply connectors. A six degree-of-freedom (DOF) inertial measurement unit (IMU) module provides orientation. The universal…
Found in Robotics News & Content, with a score of 4.99
August 27, 2024
…is a good localization technique, AGVs don’t have great perception abilities. Object recognition allows computer systems to identify and label items within images. AGV operators can add Slamcore’s hardware box and cameras to their machine to add on the perception of a fully-autonomous robot, including both localization and object recognition. “Vision really comes into its own, because you get so much more spatial data from a stream of images than you do from a bunch of laser measurements or from other ultrasonic measurements.” Slamcore’s proprietary AI stack takes in images and outputs object positions with labels. Nicholson said deep learning…
Found in Robotics News & Content, with a score of 4.96
March 11, 2021
…was formed in 2018 with the combination of U.S.-based Perception Robotics, Hungary-based OptoForce, and Denmark-based On Robot. It acquired Purple Robotics that same year. In 2019, the company acquired Blue Workforce's technology for its RAGNAR delta robot. OnRobot now has offices in 10 countries. Last year, the company launched a three-finger electrical gripper, the OnRobot Eyes vision system, and screwdriver and sanding tools. It also launched the 2FG7 cleanroom-ready parallel gripper. OnRobot builds MG10 magnetic gripper for smoother handling Today, OnRobot announced the MG10, a new electric magnetic gripper with programmable force features and built-in grip and part-detection features. The…
Found in Robotics News & Content, with a score of 4.92
November 08, 2021
Much of the effort in improving robotic perception has been in computer vision, but the sense of touch is just as important for manipulation and teleoperation. Touchlab Ltd. has been developing flexible sensors that it said are less bulky than others on the market and could enable new applications. “At Amazon's re:MARS conference in 2019, Jeff Bezos said that people 40 years ago thought that the hardest challenges would be in artificial intelligence and machine learning,” recalled Zakareya Hussein, CEO of Touchlab. “Many of those have been addressed, but grasping is still hard.” “We were approached by clients trying to…
Found in Robotics News & Content, with a score of 4.89
March 19, 2019
…storage and retrieval tasks, and more. Technological advances in perception, processing power, and gripping have also expanded robotic capabilities for the DC. Advances in 3D vision technology are expediting and improving unloading and picking tasks, both of which consume large amounts of labor and resources in the typical warehouse. Making the right choice With a wide array of robotics options to select from, making the right choice for your operation is an important first step down the automation path. And because much of the data for these applications doesn’t even exist yet—and will need to be collected and understood—pilot programs…
Found in Robotics News & Content, with a score of 4.89
April 19, 2021
…and how many boxes are empty or stacked, its perception can change significantly,” said Gopalakrishna. “Using Isaac Sim with synthetic data generation and domain randomization, users can train robots in a more efficient way. We also supports the open-source community including ROS and ROS 2—we want the robotics world to grow faster and provide more meaningful applications outside of safety cages.” Louisville, Colo.-based AMP Robotics, whose Neuron AI platform applies computer vision for more efficient recycling, discussed how NVIDIA products are enabling practical robotics at scale. “We really pushed the envelope—our system can train on over a billion types of…
Found in Robotics News & Content, with a score of 4.89
October 30, 2021
…from all of its sensors at once, feeding its perception system a comprehensive view of the environment. The self-driving developer said its sensor suite allows the Aurora Driver to track velocities and measure the acceleration of vehicles hundreds of meters away while moving at highway speeds, enabling faster, more accurate responses to road conditions. Aurora Driver-powered trucks must safely autonomously handle all kinds of complex situations while hauling goods from city to city. These include unprotected left and right turns, high-speed merges, and various forms of construction, which are notoriously difficult for self-driving vehicles. The company said Aurora Driver Beta…
Found in Robotics News & Content, with a score of 4.78
December 31, 2021
…exact location of every case on the pallet, while perception software automatically recognizes a wide variety of packaging. This technology allows for seamless handling of a continuous flow of pallets in any sequence without requiring any pre-programming or operator intervention, according to Thomas. With AI and machine learning, the depalletizer is designed to optimize the movements of the robotic arm for maximum picking speed and efficiency. The control logic senses the weight of each item as the robot lifts it and automatically updates its gripping response to securely transfer each product. The depalletizer, which was introduced in September, is in…
Found in Robotics News & Content, with a score of 4.78
February 07, 2022
…applications. Regular robots that aren’t equipped with an advanced perception system require certain conditions. For example, the work environment must be fixed, and the robot should always proceed to a predetermined position. How can a robot move to where it’s needed? Picking systems require high-precision sensing to locate objects to manipulate. Today, vision-guided robots (VGR) are rising in popularity. They include the following capabilities: Recognizing an object with cameras or other sensors Determining the item's shape and position in space Picking and transferring the item to a target point with robotics hardware A seemingly simple task requires complex AI and…
Found in Robotics News & Content, with a score of 4.66
December 13, 2022
…synchronize machines to work together, CNH said. A 360-degree perception system detects and avoids obstacles, while telematics and auto guidance keep all functions in check for operators. Fleet Management lets the farm manager assign tasks to each piece of equipment, said CNH. Implement recognition ensures that the tractor seamlessly links up with required attachments. Also, offboard digital services let farmers run the tractor from anywhere, at any time, while monitoring its performance and battery level, asserted CNH. The New Holland T4 Electric Power tractor. Source: New Holland Baler automation arrives for New Holland, Case IH equipment CNH Industrial said its…
Found in Robotics News & Content, with a score of 4.66
September 30, 2021
…systems [ADAS],” he explained. “Not only are we providing perception to cars or robots, but these systems are also helping people drive more safely with features such as lanekeeping. That's where we're focused.” Activ Surgical's hardware-agnostic ActivInsights software is intended to combine augmented reality (AR), machine learning, and robotics for autonomous and collaborative surgery. “We're working with a number of robotics vendors to make their systems better,” said Kim. “With a realtime flow of information and optical signatures, the surgeon can identify different types of tissue.” “ActiveSight is a simple module between any camera and endoscope system, allowing it to…
