Market Reports World: The global market for collaborative robots is expected to grow at a CAGR of 60.04% between 2016 and 2022 from USD 110.0 million in 2015 and reach USD 3.3 Billion by 2022. The market is expected to be driven by the growing demand because of higher return on investment and low price of collaborative robots that are attracting the small and medium sized enterprises (SMEs), and the increase in investments for automation in industries. “The market in the automotive industry and furniture & equipment industry is expected to grow rapidly” The application in the automotive industry accounted for the largest share of the collaborative robot market in 2015 and this trend is expected to continue during the forecast period. However, the increasing installations of collaborative robots in the automotive industry and furniture & equipment industry would provide rapid growth between 2016 and 2022, especially in the Asia-Pacific region. Full report...
Many police departments have purchased or plan to buy drones for search-and-rescue, arson, disaster relief, and accident investigations. Police officials say the devices can keep officers out of dangerous situations and cover more ground quickly, especially in the case of a missing child or an armed suspect on the run, especially in rural areas.
A few niche Japanese companies have been producing high-performance all-axis servo-driven take-out robots to make an industry smart in its various stages of planning, organizing, staffing, controlling, delivering, etc.
You need an AGV solution that will grow with your company, adapting to your changing industry and taking on the challenges you face as your business grows.
Ben Rossi for Information Age: Robotics has already been deployed in manufacturing to great effect for over a decade, performing delicate and precise tasks with greater accuracy than humans. But now cutting-edge robots and other smart machines are set to join forces with the rapidly expanding Internet of Things, which Gartner estimates will total 25 billion devices by 2020. In healthcare, robotic services are already operating pharmacy dispensers and robotic trolleys are now deployed in a growing number of hospitals. In hospitality, robots deliver services such as drinks dispensing and automated trolley deliveries. Robots have even made their way into education, where they are being deployed successfully as a tutor, tool or peer in learning activities. But what impact will this large-scale adoption of robotics have on existing networks as they encounter inevitable further strain? Cont'd...
Our programs are all-inclusive. We provide the robots, and a login to a learning portal with all the lessons, exercises, and the programming interface.
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
From Computer Vision Freiburg: Recent work has shown that optical flow estimation can be formulated as a supervised learning task and can be successfully solved with convolutional networks. Training of the so-called FlowNet was enabled by a large synthetically generated dataset. The present paper extends the concept of optical flow estimation via convolutional networks to disparity and scene flow estimation. To this end, we propose three synthetic stereo video datasets with sufficient realism, variation, and size to successfully train large networks. Our datasets are the first large-scale datasets to enable training and evaluating scene flow methods. Besides the datasets, we present a convolutional network for real-time disparity estimation that provides state-of-the-art results. By combining a flow and disparity estimation network and training it jointly, we demonstrate the first scene flow estimation with a convolutional network. his video shows impressions from various parts of our dataset, as well as state-of-the-art realtime disparity estimation results produced by one of our new CNNs... (full paper)
Kagan Pittman for Engineering.com: As Chinese companies move to expand their market share in industrial robotics, so too are companies in the West, with some of the biggest power-plays coming from R&D departments. A recent report by Technavio predicts that global R&D spending in the robotics industry will grow at a CAGR of more than 17 percent between 2016-2020. Technavio analysts cite the following factors as key drivers in the growth of R&D spending: A race for robotics patents Demand for lower system engineering and installation costs Growing demand for industrial robots from non-automotive industries The report’s analysis considers market trends across user segments including: defense, healthcare, automotive, domestic, food and beverage, electricals, electronics, oil and gas, textiles and packaging. Cont'd...
Here is a summary of what Tradeshows, Conferences & Exhibitions to look forward to in the coming months.
In the long term, job roles will shift away from their traditional remits and evolve to meet the needs of the modern, automated workplace.
Caitlin Ju for The Stanford Daily: Stanford researchers in the Computational Vision and Geometry Lab have designed an autonomously navigating robot prototype that they say understands implicit social conventions and human behavior. Named “Jackrabbot” after the swift but cautious jackrabbit, the visually intelligent and socially amicable robot is able to maneuver crowds and pedestrian spaces. A white ball on wheels, the Jackrabbot is built on a Segway system and contains a computing unit and multiple sensors that acquire a 3-D structure of the surrounding environment. 360-degree cameras and GPS also enhance the robot’s navigation and detection capabilities. To interact smoothly in public settings, the robot has to know how to avoid someone in a natural way, how to yield the right-of-way and how to leave personal space, among other skills. Cont'd...
Robotic surgery has treated over 3 million patients
Encoders use different types of technologies to create a signal, including: mechanical, magnetic, resistive and optical - optical being the most common.
From Gizmag: Researchers at Siemens have created a new prototype electric motor specifically designed for aircraft that weighs in at just 50 kg (110 lb) and is claimed to produce about 260 kW (348 hp) at just 2,500 RPM. With a quoted power five times greater than any comparable powerplant, the new motor promises enough grunt to get aircraft with take-off weights of up to 1,800 kg (2 ton) off the ground... ... As a result, the new aircraft electric drive system achieves a claimed weight-to-performance ratio of 5 kW per kilogram. This ratio is an exceptional figure – especially if compared to similarly powerful industrial electric motors used in heavy machinery that produce less than 1 kW per kilogram, or even to more efficient electric motors for vehicles that generate around 2 kW per kilogram... (full article)
Manish Sablokk for IoTTech: Cutting-edge robots and other advanced smart machines are set to be added into the rapidly expanding Internet of Things, which is projected to reach 25 billion devices by 2020. Robotics has already been used in manufacturing to great effect for over a decade, performing delicate and precise tasks with a higher success rate than humans. With advancements such as 'deep learning' robots, delivery drones and ubiquitous knowledge-sharing between machines, widespread robotics adoption is becoming far more feasible. In healthcare, there are already robotic services in operation with automated pharmacy dispensing and robotic trolleys - robots that can navigate between floors and even call the lift using a Wi-Fi sensor. The hospitality sector has also been a keen adopter of robotics to deliver services and in education, robots are being deployed successfully as a tutor, tool or peer in learning activities, providing language, science and technology education. Cont'd...
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maxon launches the next generation of positioning controllers - the EPOS4. A high performance module with detachable pin headers and two different power ratings. With a connector board, the modules can be combined into a ready-to-install compact solution. Suitable for efficient and dynamic control of brushed and brushless DC motors with Hall sensors and encoders up to 750 W continuous power and 1500 W peak power. The modular concept also provides for a wide variety of expansion options with Ethernet-based interfaces, such as EtherCAT or absolute rotary encoders.