On-orbit servicing (OOS) activities will power the next big step for sustainable exploration and commercialization of space. Developing robotic capabilities for autonomous OOS operations is a priority for the space industry. Visual Servoing (VS) enables robots to achieve the precise manoeuvres needed for critical OOS missions by utilizing visual information for motion control. This article presents an overview of existing VS approaches for autonomous OOS operations with space manipulator systems (SMS). We divide the approaches according to their contribution to the typical phases of a robotic OOS mission: a) Recognition, b) Approach, and c) Contact. We also present a discussion on the reviewed VS approaches, identifying current trends. Finally, we highlight the challenges and areas for future research on VS techniques for robotic OOS.

Intelsat, operator of one of the world's largest integrated satellite and terrestrial networks and leading provider of inflight connectivity (IFC), ordered a Mission Extension Pod (MEP) from Northrop Grumman Corporation's SpaceLogistics, which will add life to an Intelsat satellite and provide uninterrupted services to many customers. The MEP "jet pack" will be installed by SpaceLogistics' mission robotic vehicle (MRV) on an Intelsat satellite operating in geosynchronous orbit, ensuring continuity of satellite service for at least six years beginning in 2026. Intelsat has not identified which satellite will be serviced. Both MEP and MRV have completed critical design reviews, are in assembly and testing, and are proceeding toward launch. "Intelsat is committed to safe and sustainable stewardship of space," said Intelsat Chief Technology Officer Bruno Fromont.

Researchers have designed a state-of-the-art walking robot that could revolutionize large construction projects in space. They tested the feasibility of the robot for the in-space assembly of a 25m Large Aperture Space Telescope. A scaled-down prototype of the robot also showed promise for large construction applications on Earth. Maintenance and servicing of large constructions are nowhere more needed than in space, where the conditions are extreme and human technology has a short lifespan. Extravehicular activities (activities done by an astronaut outside a spacecraft), robotics, and autonomous systems solutions have been useful for servicing and maintenance missions and have helped the space community conduct ground-breaking research on various space missions.

We love it when people exceed expectations. Whether it's an athlete who steps up to replace an injured starter or a team that pulls together to deliver exceptional results, it is inspiring to see long-held assumptions about potential turned upside down. Now, service organizations have an opportunity to exceed traditional expectations in the same way. Instead of being considered simply a means of connection and cost containment post-customer purchase, intelligent service teams can become a strategic driver to direct value back to the business. Focusing on speed, insights, and accuracy, SAP Service Cloud resolves customer issues at unmatched speed -- protecting the brands promise and securing future growth.

Artificial intelligence has been tapped by insurers to ramp up customer experience and accelerate the speed of decision-making. Customer Conversations When call centres were shut down during the pandemic, our AI-driven chatbot came to the fore. Not only did customers feel the same level of comfort that they did while interacting with call centre executives, as evidenced by the overnight spike in servicing via this medium, accompanied by a 90% dip in grievances, but the AI-driven chatbot went beyond the shift in plane from person-driven servicing to bot-driven servicing to include conversations in languages beyond English. More importantly, the servicing was not restricted to a few niche cases, but the most sought-after array of services that were offered by insurers via the call centre. Motor On the Spot Claim Servicing Traditional claim servicing involves the entire rigmarole of a call from the customer from the site of the crash of the vehicle to the insurance company, the appointment of a surveyor, his on-site visit and assessment, submission of the report to the firm and subsequent processing of the claims.

With the growth of industrial AI and the IoT, Organisations in most of the sectors are being reimagined through software. Businesses are learning how to utilize their information to not just examine the past but forecast the future too. Maintenance is a vital area which may drive significant cost savings and manufacturing value across the globe. Even the expense of machine downtime is substantial: As stated by the International Society of Automation, $647 billion has been lost worldwide annually. During this time organisations have unacted maintenance procedures to facilitate downtime and increase effectiveness.

Customer expectations are always multiplying. Enterprises struggle to improve customer experience and are making huge investments to meet their expectations. Regardless of the industry, the customers today expect that they will get best-of-breed experience and contextually relevant customer service. The real world is becoming digital and many more people have access to smart devices and objects. There is a need for rapid and relevant customer to company interactions on new networks and platforms.

A new study or survey is released almost daily that suggests that artificial intelligence (AI) and machine learning (ML) will revolutionize our lives. This past summer, the Treasury Department released a report in which the agency recommended facilitating the development of AI due to the potential it holds for financial services companies and the overall economy. The agency also found that AI was one of the three biggest areas of investment for financial services companies last year. However, it's not just the Treasury Department that is backing AI and machine learning. The Federal Reserve has recognized the two concepts, as has the Financial Industry Regulatory Authority (FINRA), which noted that AI could help banks prevent money laundering and improve data management and customer service.

The U.S. life insurance industry is beginning to understand the vast potential benefits of robotic process automation (RPA) and artificial intelligence (AI). These two related breakthrough technological innovations leverage the power of machine learning to increase productivity and reduce the risks associated with human error. Of course, many professionals in our industry find the names of these technologies unappealing, prompting skepticism from the outset. These reactions are often rooted in fear of the unknown, apprehension that is unnecessary once we understand the essence of the technologies. RPA and AI are often used in tandem to complete a transaction and are currently utilized in many customer servicer interactions we encounter daily.

NASA's successor to the Hubble Space Telescope, the James Webb Space Telescope, is currently scheduled to launch in the spring of 2019. But before that happens, the space agency needs to make sure the instrument is hardy enough to survive the harsh environment of space and to ensure that, JWST is being put through a variety of tests. In a statement Tuesday on NASA's website, the deputy project manager (technical) for JWST, Paul Geithner explained that the mechanical stress from the vibrations during the launch would only be the first of the many stressful conditions the telescope would go through. In addition, JWST would have to also cope with shrinking and expansion, induced by temperature changes in space. This is necessary for the space-borne observatory to survive years in space.