July 27, 2020 – Due to the global pandemic, this year’s e-commerce sales are on the rise. Growth in online retail has placed increased pressure on warehouses to keep up with higher volumes of orders and with social-distancing protocols that have restricted the number of staff allowed on-site. Massachusetts-based RightHand Robotics addresses these challenges with […]
Qualcomm® Robotics RB5 Platform Delivers Cutting-Edge Connectivity and Power Efficient Inferencing at the Edge for AI and Machine Learning (ML) The Platform Facilitates Accelerated Development of Innovative, Power-Efficient, High Computing Robots and Drones for Enterprise, Industrial and Professional Service Applications Qualcomm® QRB5165 Robotics Processor Enables AI, ML, Heterogeneous Computing, Enhanced Computer Vision, Multi-Camera Concurrency with
Qualcomm Launches World’s First 5G and AI-Enabled Robotics Platform Read More +
This blog post was originally published at SLAMcore’s website. It is reprinted here with the permission of SLAMcore. The three most challenging questions in autonomous robotics are: where am I? how far away are the objects around me? and, what are those objects? The vast majority of robot failures stem from an inability to answer
SLAMcore Debuts Full-stack Spatial AI SDK in Industry Competition Read More +
This market research report was originally published at Omdia | Tractica’s website. It is reprinted here with the permission of Omdia | Tractica. A robot with no way to sense its position or environment is simply an automaton that performs movements blindly. That is changing due to a trend toward adding vision, torque, and other
Robot Senses: Robots That Can See, Hear, Feel, and More Read More +
OUTLINES: A new generation of robotic vehicle is bringing MaaS to the masses. High end sensor technology and raw computing power is at the center of this ongoing market disruption. Sensors for robotic vehicles will become industries of their own: 51% CAGR expected for the next 15 years. “Disruption is coming to our streets and
Sensors Are At the Heart Of the Robotic Mobility Disruption Read More +
This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. The pace of innovation is quickening across all industries, including manufacturing and the intelligent factories of Industry 4.0. Unlocking the value of data via machine learning is propelling us into this next phase, and innovations in industrial
This market research report was originally published at Tractica’s website. It is reprinted here with the permission of Tractica. Much is written about robot systems, but what about the components that comprise these machines? Key technologies include the robot arms, grippers, actuators, sensors, vision systems, power systems, and controllers. The robotics market is experiencing a
Robotic Components: The Building Blocks of Robotic Life Read More +
Shrinivas Gadkari, Design Engineering Director at Cadence, presents the “Fundamentals of Monocular SLAM” tutorial at the May 2019 Embedded Vision Summit. Simultaneous Localization and Mapping (SLAM) refers to a class of algorithms that enables a device with one or more cameras and/or other sensors to create an accurate map of its surroundings, to determine the
“Fundamentals of Monocular SLAM,” a Presentation from Cadence Read More +
Oleg Sinyavskiy, Director of Research and Development at Brain Corp, presents the “Sensory Fusion for Scalable Indoor Navigation” tutorial at the May 2019 Embedded Vision Summit. Indoor autonomous navigation requires using a variety of sensors in different modalities. Merging together RGB, depth, lidar and odometry data streams to achieve autonomous operation requires a fusion of
“Sensory Fusion for Scalable Indoor Navigation,” a Presentation from Brain Corp Read More +
Sergey Dorodnicov, Software Architect at Intel, presents the “Applied Depth Sensing with Intel RealSense” tutorial at the May 2019 Embedded Vision Summit. As robust depth cameras become more affordable, many new products will benefit from true 3D vision. This presentation highlights the benefits of depth sensing for tasks such as autonomous navigation, collision avoidance and
“Applied Depth Sensing with Intel RealSense,” a Presentation from Intel Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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