Chinese robot dentist is first to fit implants in patient’s mouth without any human involvement

A robot dentist has carried out the first successful autonomous implant surgery by fitting two new teeth into a woman?s mouth, mainland media has reported. Around one million implants are carried out across the country each year and the poor quality of the surgery that patients face can often cause further problems. The report on the surgery pointed out that dental surgeons are working within a small space inside the mouth, including some areas that are hard to see, which often makes surgery difficult to carry out. They then programmed the robot to move into the correct position to carry out the operation, and determined the movements, angle and depth needed to fit the new teeth inside a cavity in the patient?s mouth. They then tested these movements and collected data to make the necessary adjustments before giving the woman a local anaesthetic and carrying out the operation. During the operation, the robot was able to make adjustments in line with the patient?s own movements. In March this year the US Food and Drug Administration approved the use of a robot system named Yomi designed to assist human surgeons when fitting implants. The implants were fitted to within a margin of error of 0.2-0.3mm, reaching the required standard for this kind of operation, experts said. It was developed jointly by the Fourth Military Medical University?s affiliated Stomatological Hospital, based in Xian, and the robot institute at Beihang University in Beijing over the past four years. According to Dr Zhao Yimin, the mainland?s leading oral rehabilitation specialist who works at the hospital, the robot combines dentists? expertise and the benefits of technology.

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Sex robot called Samantha ‘who has brain and can tell jokes’ goes on sale in UK for £3,500

A sex robot named Samantha which “has a brain and can interact with you” has gone on sale in the UK for �3,500. We are an adult store so people aren’t going to call us for a family bot – they want a sex bot. While Vibez has just one on sale at present, orders can be taken and deliveries can be made within six weeks. Erotic retailers Vibez Adult Boutique in Aylesford, Kent, is just one of two sex shops in Britain selling the sex bot, which featured on This Morning earlier this month. Vibez owner Tracey Whitmore said the latest addition to her stock can switch between a family mode and a sex mode setting. Synthea Amatus created the lifelike dolls and Tracey is tipping the specialist toys to become a top product. The company, headed by Spanish creator Serge Santos, has sold 30 dolls worldwide and is believed to be working on a male model.

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A Chinese Robot Has Performed the World’s First Automated Dental Implant

Experts said that the implants were fitted within a margin of error of 0.2-0.3 mm?matching the standards required for this type of procedure, reports the Post. Robots can safely conduct dental surgeries like implantations with more accuracy and agility in a narrow space like the oral cavity, according to dental experts cited by the Science and Technology Daily. Dentistry has increasingly enlisted the help of robotics, notes the Post, with robot usage increasingly common in orthodontic procedures and root canal surgeries, as well as in student training.

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Discover Innovative Solutions for Packaging and Palletizing from KUKA Robotics Corporation

With the KR AGILUS family, the speed and accuracy make the performance unique in its payload category and offers impressive results combined with minimized cycle times. This small robot family has a payload availability from 3 kg to 10 kg with a reach of 540 mm to 1,100 mm and is available in over 34 different variations including waterproof and cleanroom. Those attending and visiting booth C-5208, will have the chance to teach the robot points on a work area and then watch the LBR iiwa pick & place headphones. The lightweight LBR iiwa (Intelligent Industrial Work Assistant) robot is the first series-produced sensitive robot suitable for human-robot collaborations. This robot has integrated, sensitive torque sensors in all 7 axes giving the robot contact detection and programmable compliance to avoid collisions, thereby eliminating the need for expensive safety fencing. Also on the show floor, a KR 240 R3200 PA robot will be on display for attendees to get up close and personal with KUKA?s KR QUANTEC PA series of palletizing robots. Built on open global standards, KUKA Connect securely leverages cloud computing technologies and big data analytics to provide customers maximum visibility into their connected KUKA robots or other devices. The anomaly detection system learns normal ranges of a robot?s motor variables over time, then detects and notifies when repeated deviations outside the normal range occur. KUKA Robotics Corporation along with KUKA Roboter GmbH, Augsburg Germany (part of the KUKA Aktiengesellschaft group of worldwide companies), ranks among the world’s leading suppliers of industrial robots and material handling vehicles. KUKA robots are utilized in a diverse range of industries including the appliance, automotive, aerospace, consumer goods, logistics, food, pharmaceutical, medical, foundry and plastics industries as well as multiple applications including material handling, machine loading, assembly, packaging, palletizing, welding, bending, joining, and surface finishing. But this demonstration is more than thrills, it allows for optimization of complex processes, harnessing large sets of data to help a robot get better at something all on its own. What many do not realize is the technology behind the concept to make sure the robot is not only repeating the motion but being successful each and every time. FlipBot offers a fun but meaningful way to better understand interactive machine learning and to integrate other advances in robotics and software into any application solution. KUKA will feature three KR 6 R900 AGILUS robots in an application utilizing software technology in both conveyor and vision for a pick and place demonstration. By using vision and load balancing technology, the KR AGILUS robots will quickly pick and place randomly positioned components from one moving conveyor into straight lines on another. The vision software from KUKA simplifies the traceability of customer products and can safeguard quality and reduce costs due to greater efficiency and productivity using automatic checks.

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79% of AI leaders expect employees to work comfortably with robots by 2020

While 82% of executives plan to implement artificial intelligence in the coming years, barriers include security and business silos, according to a new study from Genpact. More than half of leaders allow a training and development culture to learn new skills, compared to 15% of laggards. And nearly 60% of leaders report that their middle managers “think out of the box” and encourage innovation, while only 14% of laggards said the same. “Process design and talent are keys to success with AI,” said Sanjay Srivastava, chief digital officer of Genpact, in the release. “One provides the catalyst for extracting the value from AI technologies; the other provides the amplifier to drive it at scale for the enterprise. The benefits of AI for leaders are tangible: One-third of these executives cited cost savings, while more than 40% said AI improves the customer experience. “Collaboration between humans and machines has the power to improve customer experiences, grow revenue, and create new jobs – but only if senior management has the vision to proactively prepare and embrace change,” Tyagarajan said in the release. About 82% of the 300 senior executives surveyed reported plans to implement AI-related technologies in the next three years. But even in these early days of enterprise adoption, large gaps in performance exist between AI leaders, who report business gains from the tech, and laggards, who do not, the report found. Tyagarajan, president and CEO of Genpact, in a press release. “Companies must train their workforce – at all levels – and encourage the right corporate culture.” Despite reports about workers fearing that robots will steal their jobs, the C-suite is actually the most resistant to implementing the technology, the report found: 32% of executive respondents said that senior management was the group that most strongly resists AI, compared to 13% who said middle management, and 5% who said entry-level workers. The top three barriers to AI adoption in the enterprise are information security concerns, lack of clarity about where to apply AI most effectively, and siloes within the organization, especially between IT and other areas, the report stated.

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Video Friday: ANYmal Robot, Jibo Unboxing, and Anki Overdrive Fast & Furious

The method is implemented on the quadrupedal robot ANYmal and we present experiments of climbing stairs, steps, and slopes and show how the robot can adapt to changing and moving environments. After launching Overdrive a few years ago and, more recently, Cozmo and Code Lab , the San Francisco robotics company�is announcing today a new version of Overdrive: Fast & Furious Edition, to be released September 24. Now on pre-order for $170 at�Amazon, Best Buy, and other retailers. Anki OVERDRIVE: Fast & Furious Edition merges the best elements of Anki?s hit robotic battle-racing system with the adrenaline-fueled world of the Fast & Furious. MOVO BETA is a mobile manipulator platform designed to aid researchers and enable the discovery of innovative approaches and applications for mobile manipulation. Kinova has been a leader in the robotics space for more than a decade and is best known for its JACO robotic arm. The Matternet Station is the third and final technology component for enabling Matternet?s vision of distributed, peer-to-peer logistics networks. It is integrated with Matternet?s autonomous M2 Drone and Matternet?s Cloud platform to provide an intuitive user interface for sending and receiving packages through Matternet. The Matternet Station occupies a small footprint of approximately 2 square meters and can be installed at ground or rooftop locations. It is equipped with technology that guides the Matternet M2 Drone to precision landing on the Station?s platform. After landing, the Station locks the drone in place and automatically swaps its battery and payload. A user is able to send a package to another location by simply scanning it into the Matternet Station, or receive a package from the Station by scanning a QR code. In unrelated news, Knightscope would also like you to know that the last day to buy pre-IPO shares in their company is October 10th. It?s very cool, but there?s obviously a bunch of special effects and CGI, so are the robots really playing all the instruments? The best league is small size, of course, but I haven?t been able to find a nicely edited video of the final. Researchers at Columbia Engineering have solved a long-standing issue in the creation of untethered soft robots whose actions and movements can help mimic natural biological systems. A group in the Creative Machines lab led by Hod Lipson, professor of mechanical engineering, has developed a 3D-printable synthetic soft muscle, a one-of-a-kind artificial active tissue with intrinsic expansion ability that does not require an external compressor or high voltage equipment as previous muscles required. To achieve an actuator with high strain and high stress coupled with low density, lead author of the study Aslan Miriyev, a postdoctoral researcher in the Creative Machines lab, used a silicone rubber matrix with ethanol distributed throughout in micro-bubbles. The solution combined the elastic properties and extreme volume change attributes of other material systems while also being easy to fabricate, low cost, and made of environmentally safe materials. After being 3D-printed into the desired shape, the artificial muscle was electrically actuated using a thin resistive wire and low-power (8V). It was tested in a variety of robotic applications where it showed significant expansion-contraction ability, being capable of expansion up to 900% when electrically heated to 80�C. While I?m not sure it?s necessarily ?revolutionizing flight,? the Plimp (under development by Egan Airships) is an interesting hybrid between a blimp and a drone. And the ultimate dream is to move beyond a stable, safe drone to into a new form of human transportation. The Robotic Systems Lab and the Autonomous Systems Lab are competing as a team at the ERL Emergency Robotics 2017 in Piombino, Italy. This video demonstrates the payload (weight carrying) capability, ability to go over small bumps, and total runtime of an AmigoBot mobile robot from Omron Adept MobileRobots. One reason for these limitation is that current methods for robotic perception and control tend to break down when faced with occlusions, viewpoint changes, poor lighting, unmodeled dynamics, and other challenging but common situations that occur when robots are placed in the real world. I argue that, in order to handle these variations, robots need to learn to understand how the world changes over time: how the environment can change as a result of the robot?s own actions or from the actions of other agents in the environment. I will show how we can apply this idea of understanding changes to a number of robotics problems, such as object segmentation, tracking, and velocity estimation for autonomous driving as well as various object manipulation tasks. By learning how the environment can change over time, we can enable robots to operate in the complex, cluttered environments of our daily lives.

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Sensors | An Open Access Journal from MDPI

The purpose of the second component is to alert the driver when the driver?s vehicle is moving around larger vehicles at dusk or night time. In both components, we propose an improved version of the Multi-Scale Retinex (MSR) algorithm to augment the contrast of the input. Several experiments were performed to test the effects of the MSR and each classifier, and the results are presented in experimental results section of this paper. The laboratory setup includes a scanning LIDAR, a monocular camera, a scaled-replica of a satellite-like target, and a set of calibration tools. The point clouds are processed by uncooperative model-based algorithms to estimate the target relative position and attitude with respect to the LIDAR. Target images, acquired by a monocular camera operated simultaneously with the LIDAR, are processed applying standard solutions to the Perspective-n-Points problem to get high-accuracy pose estimates which can be used as a benchmark to evaluate the accuracy attained by the LIDAR-based techniques. Prominent among the more dangerous vehicles around at night are the larger vehicles which are usually moving faster at night on a highway. To this aim, a precise knowledge of the extrinsic relative calibration between the camera and the LIDAR is essential, and it is obtained by implementing an original calibration approach which does not need ad-hoc homologous targets (e.g., retro-reflectors) easily recognizable by the two sensors. Among the challenges to successful vein cannulation are identifying the moment of venous puncture, achieving cannulation of the micro-vessel, and maintaining cannulation throughout drug delivery. Recent advances in medical robotics and sensing of tool-tissue interaction forces have the potential to address each of these challenges as well as to prevent tissue trauma, minimize complications, diminish surgeon effort, and ultimately promote successful retinal vein cannulation. This is based on measured tool-tissue interaction forces and also the tracked position of the needle tip. In addition, the risk level of driving around larger vehicles rises significantly when the driver?s attention becomes distracted, even for a short period of time. In addition to the existing tremor canceling function of Micron, a new control method is implemented to actively compensate unintended movements of the operator, and to keep the cannulation device securely inside the vein following cannulation. Notable is that the active holding function significantly attenuates tool motion in the vein, thereby reduces the trauma during cannulation. To gain independence from the electricity grid, WSNs devices are equipped with batteries, therefore their operational time is determined by the time that the batteries can power on the device. For the purpose of alerting the driver and elevating his or her safety, in this paper we propose two components for any modern vision-based Advanced Drivers Assistance System (ADAS). The contribution of the work is a novel algorithm called LOKA that implements two duty-cycling mechanisms using the end-device of the ZigBee protocol (of the Application Support Sublayer) and an external microcontroller (Cortex M0+) in order to minimize the energy consumption of a delay tolerant networking. Experiments show that using LOKA, the energy required by the sensor device is reduced to half with respect to the same sensor device without using LOKA. Due to a very large number of connected virtual objects in the surrounding environment, intelligent service features in the Internet of Things requires the reuse of existing virtual objects and composite virtual objects. The Web of Objects applies the principle of service modularity in terms of virtual objects and composite virtual objects. Service modularity is a key concept in the Web Objects-Enabled Internet of Things (IoT) environment which allows for the reuse of existing virtual objects and composite virtual objects in heterogeneous ontologies. In the case of similar service requests occurring at the same, or different locations, the already-instantiated virtual objects and their composites that exist in the same, or different ontologies can be reused. Their reuse avoids duplication under similar circumstances, and reduces the time it takes to search and instantiate them from their repositories, where similar functionalities are provided by similar types of virtual objects and their composites. Even though the functional costs of virtual objects are just a fraction of those for deploying and maintaining real-world objects, this article focuses on reusing virtual objects and composite virtual objects, as well as discusses similarity matching of virtual objects and composite virtual objects. This article proposes a logistic model that supports service modularity for the promotion of reusability in the Web Objects-enabled IoT environment. In this study, a new proxy measurement method is proposed to estimate the vertical component of the GRF (vGRF) from wearable accelerometer signals. The purpose of the first component is to ascertain that the driver would be in a sufficiently wakeful state to receive and process warnings; this is the driver drowsiness detection component. An orthogonal forward regression algorithm (OFR) is employed to identify the dynamic relationships between the proxy variables and the measured vGRF using pressure-sensing insoles. The obtained model, which represents the connection between the proxy variable and the vGRF, is then used to predict the latter. The results show that the vGRFs can be reconstructed with high accuracy (with an average prediction error of less than 5.0%) using only one wearable sensor mounted at the waist (L5, fifth lumbar vertebra). Results show that the waist acceleration-based proxy measurement is more stable with less inter-task and inter-subject variability than the proxy measures based on forehead level accelerations. The proposed proxy measure provides a promising low-cost method for monitoring ground reaction forces in real-life settings and introduces a novel generic approach for replacing the direct determination of difficult to measure variables in many applications. The TM triggers the AFM probe approximately at the resonant frequencies and controls the tip such that it periodically touches the specimen along the scanning path. The AFM probe and its tip produce a hydrodynamic pressure on the probe itself and press the specimen. The tip to specimen size ratio is known to affect the measurement accuracy of AFM, however, few studies have focused on the hydrodynamic pressure caused by the effects of specimen size. In this study, a semi-analytical method is employed for a semicircular specimen to analyze the vorticity and pressure distributions for specimens of various sizes and at various tip locations. The results indicate the following: the specimen surface experiences the highest pressure when the specimen diameter equals the tip width; the vorticity between tip and specimen is complex when the tip is close to the specimen center line; and the specimen inflates when the tip is aligned with the specimen center line. This component issues alerts to the driver when the driver?s eyes show distraction and are closed for a longer than usual duration.

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Vibez Adult Boutique in Aylesford selling £4,000 sex robot

A sex boutique in Aylesford is one of just two stores in the country to stock a �4,000 erotic robot. Sex bot Samantha was introduced to staff at Vibez Adult Boutique just two weeks ago and has already become a global phenomenon. Tracey Whitmore, owner of Vibez, revealed the latest addition to her stock can switch between a family mode and a sex setting to become an established member of any household. The company, headed by Spanish creator Serge Santos, has sold 30 dolls worldwide and is believed to be working on a male model. While Vibez has just one on sale at present, orders can be taken and deliveries can be made within six weeks.

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Starting a Robotics Company? Sell a Service, Not a Robot

That was the message of robot startup founders and investors speaking at HAX demo day this week. ?I?m a big fan of going out and doing a service with a robot, competing with other businesses that provide that service, rather than trying to sell a $100,000 robot,? said Nathan Harding, co-founder of Ekso Bionics and now co-founder and CEO of Wink Robotics, a still-mostly-stealthy company intending to bring robotics technology into the beauty salon industry. Run like hell to be the best bricklaying company in the world, then eventually traditional companies will want to buy your robot or your company.? ?We tell startups, don?t ever think that the hardware is going to make you money,? ?The priority right now is to deliver a service,? said Travis Deyle, co-founder of security robot company Cobalt Robotics . ?Too many people for too long have focused on building sexy robots.? Harding even admitted to plans to adjust the name of his latest startup in order to emphasize the service provided instead of the technology. ??Wink Robotics? is a good name for pitching investors,? he said, ?but that will change before we go to market.? Right now, he later added, companies with ?robots? in the name are easy to finance. Beetl intends to sell its product, a dog-poop-scooping robot that uses image analysis and cloud-based machine learning to keep yards clean at about the same price as traditional dog-poop-scooping services charge today, about $80 to $100 a month. And Unsupervised , maker of the Aida delivery robot that can walk on articulated legs as well as roll on wheels, plans to charge per delivery. The company hasn?t set that price yet; its robot is intended to be able to get around cities and into buildings more easily than the rolling delivery robots launched to date. Completion of the membership application is required to become an IEEE member. The Beetl robot will start out as an automated poop scooper, but may add lawn mowing to the services it provides. If you want to start a robot company, plan to kick off by selling a service performed by robots, not the robots themselves.

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Flippy, the hamburger cooking robot, gets its first restaurant gig

Miso Robotics has been showing off its burger-flipping ?robotic kitchen assistant?�for several months now, but today?s food robotics panel marks the first time we?ve actually seen it put to work in a real-world kitchen. After all, you need the easiest to clean surface when dealing with raw meat ? you really don?t want that stuff getting caught up in a device?s various nooks and crannies. The new version of Flippy is also bolted to the kitchen floor and configured to work specifically with the Caliburger kitchen?s parameters. After that, interested parties will be able to pick up for around $60,000, a price that will likely increase over time as Miso continues to add new functionality to the robot. The company is working on a number of new features for the robot, including advanced computer imaging and AI that will help it adapt over time to things like a changing seasonal menu. The startup is also announcing a partnership with Kitchen United at today?s show that will bring Flippy robots to the ?WeWork for restaurants.? The company was an early investor in the startup ? in fact, according to CEO and co-founder David�Zito, the restaurant actually helped inspire Flippy?s current functionality as a burger flipping ?bot during early conversations with the startup. Caliburger also pre-ordered a number of the robots, with plans to implement them in 50 of its restaurants. While U.S. based, the food chain is international, with many of its locations in places like Saudi Arabia and the UAE.

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