Found in Robotics News & Content, with a score of 3.91
…such as identifying objects with greater precision and informing navigation for safe maneuvering through busy facilities, all with less power consumption. And while huge jumps in AI capabilities are still to come, the autonomous behavior of AMRs—how they get from one point to another without truly knowing what goes on around them—will continue to improve. 2. 5G is coming – but maybe not as fast as anyone would like Today’s mobile robots don’t require much infrastructure, so companies can easily start with one robot. However, as soon as facilities add more robots, they must have a way to connect and…
Found in Robotics News & Content, with a score of 3.91
…not building features we shouldn't be doing, like the navigation stack or manipulation,” noted Linnell. “We partnered with PickNik Robotics for mobile manipulation, making it dead simple for users to check a box.” Interest growing in field robotics “We're seeing a lot of interest in agriculture, which has a severe labor shortage, semistructured environments, and the mechanics are relatively solved,” said Linnell. “We're working with folks like John Deere and a whole bunch of startups, as fleets double and triple. We're changing the ratio from one person behind a robot to one farmer in a truck managing four and eventally…
Found in Robotics News & Content, with a score of 3.89
…Whirlpool, 54 robotic tuggers, each with a stereo camera-based navigation system from Seegrid, deliver washing machine parts to 24 locations on assembly and sub-assembly lines in Clyde, Ohio. This is just a glimpse of what’s to come on the mobile robot front, where Dwight Klappich, research vice president at Gartner, says we’re “on the cusp of some very radical changes to the warehouse thanks to automated robots.” And while warehouses and DCs have beenequipped with what Klappich calls “bolted to the floor” automation for nearly 40 years now, such equipment has been expensive to design, build, and install—and complicated to…
Found in Robotics News & Content, with a score of 3.88
…how accurate localization can improve autonomous vehicle and indoor navigation, as well as the use of AI and pose estimation for robotics development. NVIDIA will also present on how service robots can reliably manipulate deformable objects, such as sponges, mops, or bedding, in warehouses or hospitals. It will describe how systems can recognize and rearrange objects inro meaningful arrangements like table settings—a vision-based task that was previously impossible. In addition, the company's researchers will present a novel model-predictive control framework to bridge the gap between grasp selection and motion planning for human-robot handoffs. They have developed a new simulation benchmark,…
Found in Robotics News & Content, with a score of 3.79
…technology to note paths and traffic lanes. The MP1000R's navigation software enables it to change its map and improve over time as the user’s needs warrant. In Bosch Rexroth's booth, the AMR simulated the transport of assembled materials at the end of line from a workstation to a custom pallet rack. Both were assembled with various components from the company’s aluminum framing portfolio. In addition, the Bosch Rexroth ctrlX AUTOMATION Cube showcased the company’s ctrlX CORE controller. It is designed to offer flexible connectivity through various automation and IT networks. The company also presented its engineering programming environment, along with…
Found in Robotics News & Content, with a score of 3.68
…X uses 2.5D obstacle-avoidance technology, first-person view augmented reality navigation, 3D stereo vision positioning, and the capacity to autonomously navigate many sorts of areas securely and intelligently. The entertainment industry, commercial events, corporate and government showrooms, and technology pavilions already use Walker X. Toyota Motor Corp. unveiled its new Welwalk WW-2000 robot in 2019. It was intended to support people undergoing rehabilitation for lower limb paralysis brought on by a stroke or other causes. Toyota has been creating rehabilitation support robots since 2007 and testing them since 2011, and the Welwalk WW-1000 was an older model released in 2017. The…
Found in Robotics News & Content, with a score of 3.67
…AMR forklifts and reach trucks enables better perception, semantic-aware navigation and 3D mapping for obstacle detection in material handling processes across warehouses, distribution centers and manufacturing facilities.” Project GR00T for humanoid robotics development Also demonstrated at GTC 2024, GR00T-powered humanoid robots can take multimodal instructions - text, video and demonstrations - as well as their previous interactions to produce the desired action for the robot. GR00T was shown on four humanoid robots from different companies, including Agility Robotics, Apptronik, Fourier Intelligence and Unitree Robotics. Humanoid robots are complex systems that require heterogeneous computing to meet the needs of high frequency…
Found in Robotics News & Content, with a score of 3.57
…limiting factor. Another limitation is around teleoperation and autonomous navigation. You can overcome the power issue, but you still have the challenge of machines moving around in dynamic environments. With AMRs [autonomous mobile robots] and other types of machines that are wheeled, they're mostly deployed in highly structured environments, like warehouses. They can be programmed, but the artificial intelligence for managing deviations is not intended for highly dynamic, unstructured environments. In the case of Sarcos' powered exoskeletons, the robot is an extension of human capabilities. This is required for applications where human intelligence is required. We feel that human judgment…
Found in Robotics News & Content, with a score of 3.51
…example, can be used for developing solutions for perception, navigation, manipulation and control in robotics systems. Developers can train and test robotics software using realistic virtual simulation environments. MathWorks added more deep learning enhancements to its latest releases of MATLAB and Simulink for designing and implementing deep neural networks and AI development. The Deep Learning Toolbox can be used to train deep learning networks for computer vision, signal processing and other applications. A Deep Network Designer app uses a drag-and-drop interface to help engineers build, visualize and edit deep learning networks. “If an engineer or data scientist wants to detect…
Found in Robotics News & Content, with a score of 3.45
…up with all the tipping points. Grippers, vision systems, navigation solutions and software are combining to make once fantastical robotic applications all but inevitable. But, even as they offer solutions to age-old challenges, concepts like robotic piece picking are also bound to present sizable tests. When it comes to piece picking, humans have the advantage of highly dexterous manipulation, versatile product identification and intuitive decision-making. Robots offer consistency and predictability, but they will need greater speed and flexibility to keep up with the inconsistent and unpredictable world of e-commerce fulfillment. Researchers, solution providers and end-users are still in the very…
Found in Robotics News & Content, with a score of 3.36
…to offer an ideal situation to test their car’s self-navigation system. But the current low traffic flow doesn’t reflect how the car is expected to perform, making the test results less reliable. In this article, we explore how some developers are continuing to make progress, aided by AR/VR technologies. Simulation is Unavoidable Conducting road testing to satisfy the safety requirements of autonomous vehicles (AV) is a daunting task, in terms of the sheer number of hours and miles involved. Research and analysis firm Rand Corporation decided to find out how many miles of driving it would take to demonstrate autonomous…
Found in Robotics News & Content, with a score of 3.34
…systems: defect detection, real-time asset tracking, autonomous planning and navigation, human-robot interactions, and more.” “All of these capabilities are arguably greater than anything we've done in the past 10 years in the areas of embedded computing and robotics,” said Deepu Talla, vice president of embedded and edge computing at NVIDIA, at a press briefing. Developers must keep up with AI, market needs AI and robotics are addressing increasingly complicated scenarios, leading to longer development cycles to build applications for the edge, according to NVIDIA. Programmers need expert skills and a lot of time to reprogram robots and AI systems “on…