Found in Robotics News & Content, with a score of 6.60
September 26, 2024
…of degradation early is crucial. Now, Spot can perform ultrasonic inspections of rotating equipment using the Fluke SV600. This enables operators to detect early indicators of bearing failures before they cause a breakdown. Companies can capture more data without installing more inline sensors or requiring more contact sensors. Spot can serve as a four-in-one tool to uncover maintenance priorities: from air leaks, to equipment running hot, to out-of-range gauges - and now, potential bearing failures. Spot and digital twins with reality capture Industrial facilities are dynamic environments where tracking change, predicting issues and planning for what’s next are persistent challenges.…
Found in Robotics News & Content, with a score of 6.41
March 22, 2022
…of up to six cameras, three lidars, and eight ultrasonic sensors. In addition, Nova Orin includes support for Robot Operating System (ROS) software modules. NVIDIA also said it provides DeepMap tools for mapping a robot's environment. “The entire platform is calibrated and tested to work out of the box and give developers valuable time to innovate on new features and capabilities,” said Andrews. Diagram of the Isaac Nova Orin reference platform's 3D sensor field. Source: NVIDIA Simulation to accelerate development NVIDIA also launched its OVX data center-scale Omniverse computing system for industrial digital twins. NVIDIA partnered with Open Robotics to…
Found in Robotics News & Content, with a score of 5.87
July 29, 2023
…as cameras, laser imaging, detection, and ranging (lidar), and ultrasonic time-of-flight (ToF) sensors, to detect objects and avoid collisions. However, because AGVs can only change their route or destination with manual intervention, they are generally limited to a particular task. Lack of flexibility and limited decision-making capabilities have led to more advanced robots. AMRs take the AGV concept a step further with the ability to navigate more complex environments. Unlike AGVs, AMRs are able to adapt to changes in their surroundings, flexibly navigating through the warehouse without colliding with other objects or causing damage. This is where simultaneous localization and…
Found in Robotics News & Content, with a score of 5.81
June 12, 2024
…underneath a tree canopy. Hamilton and Otteman also said ultrasonic sensors are embedded in the M.52 frames for development of the next generation of mowers. As Scythe’s robots autonomously mow, camera images are streamed for logging. Images are also collected from run-in, development, and test robots. “We have an employee who somedays literally takes out the robot to various properties, just so we can make sure that we're capturing a variety of images, obstacles, dogs, trees, and brush,” Hamilton said. The Scythe Robotics team recently held a launch party at their expanded production line in Longmont, CO. Source: Scythe Robotics…
Found in Robotics News & Content, with a score of 5.27
February 05, 2023
…This project seeks to catalyze robotic automation for rapid ultrasonic welding of TPC components. These innovations are expected to lead to increased welding speed, applicability to a wider range of products, reduce the assembly time, and reduce the number of welding trials and process calibration articles. Agile Automated Visual Inspection Source: GE Research Principal Investigator: GE Research Project Team: University of Washington, and GKN Aerospace Defense Project Description: Accurate visual inspection of components is critical to safety in aerospace and is often the limiting factor in manufacturing processes, especially for composite components. Current processes are time-consuming, manual, subjective, often inaccurate,…
Found in Robotics News & Content, with a score of 5.17
September 20, 2022
…included for stereo cameras designed with partners, plus lidars, ultrasonic sensors, and inertial measurement units (IMUs). The sensor suite balances performance, price, and reliability for industrial applications, said NVIDIA. All sensors are calibrated and time-synchronized, and they come with drivers for reliable data capture. These sensors allow AMRs to detect objects and obstacles across a wide range of situations while also enabling simultaneous localization and mapping (SLAM). NVIDIA builds platform for OEMs, industries NVIDIA said it offers extensive software support for Nova Orin in addition to the hardware and integration tools. The base operating system includes drivers and firmware, as…
Found in Robotics News & Content, with a score of 5.09
December 01, 2018
…based on sensor technologies such as radar, laser/lidar, camera, ultrasonic, DSRC [dedicated short-range communications] and GPS.” Software such as Simcenter Prescan allows automakers to train their artificial intelligence programs to make the right decision not only in routine events but also in uncommon but imminent events. For example, how would the autonomous pilot react to an elephant crossing the road, or a group of trick-or-treaters dressed up as pumpkins? VTD from MSC Software (part of Hexagon) is a virtual test driving software autonomous vehicle developers can use to train AI decision making. Image courtesy of Hexagon. Most human drivers have…
Found in Robotics News & Content, with a score of 4.94
September 15, 2020
…the different types of required ADAS sensors, including radars, ultrasonic, cameras and lidar,” says Castany. “These sensors are required, considering the different levels of vehicle autonomy, while we move forward to the high and full automation levels. As AVs are integrating more and different types of sensors, electrification is a key and challenging topic. Electrification comes with an increased presence of electronics, with higher voltages systems, which without a proper design can generate electromagnetic interferences [EMI]. This can cause big issues for the safe operation of the vehicle, which test car manufacturers’ and suppliers’ need to pass before being able…
Found in Robotics News & Content, with a score of 4.55
August 27, 2024
…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 and generative AI are making it easier for computers to identify objects. “There's lots of companies out there who do labeling of images,” Nicholson said. “But if you don't know where that object is, you really limit the amount of value you can bring.” Because Slamcore’s software is foundationally a localization system, the computer knows where the cameras are within the facility space, and therefore can tell robots both what things are…
