With an increasing demand for automation in the 21st century, robots have had rapid and unprecedented growth across many industries, including logistics, warehousing, manufacturing, and food delivery.

The materials industry is sometimes described as conservative, but digital transformation is well underway in the sector. Materials informatics - the application of data-centric approaches, including machine learning, to materials R&D - has the potential to be the most impactful arm of this process.

The Road to More Intelligent Robots? Sensors are crucial for the value proposition behind many intelligent robotic systems. With the increasing demand for robots to handle complicated tasks, the growing adoption of robots, and the decreasing costs of sensors, the market for sensors in robotics is rapidly growing. It is expected to exceed US$80 billion by 2043. This fast growth and the substantial market size are partially driven by the growth of robots in the next two decades as a whole, but also expects sensors to capture an increasing proportion of the total value in robotic systems.

Robots, by definition, are machines with autonomy. Over the past several years, robots have gained significant momentum in a variety of industries, such as logistics and delivery, manufacturing, cleaning and disinfection, and daily services.

Collaborative robots, also commonly known as cobots, refer to robots that work side-by-side with human operators. Unlike industrial robots that are separated from human operators, cobots share the same working space as humans. As a relatively new definition, cooperative robots sound like collaborative robots but represents a different nature of the operation.

Lidar, which refers to light detection and ranging, is a technology that has been adopted in various applications such as mapping, surveying, military, archaeology, agriculture, geology, industry, etc.

Materials informatics (MI) involves using data-centric approaches, including AI and machine learning, to assist scientists and engineers in materials R&D.

A floor that can feel when you fall, a warmth that wanders from room to room with you; could the house of the future take care of you?

With the innovation of lidar beam steering technologies, continuous lidar cost reduction, as well as the progress of Advanced Driving Assistance System (ADAS) and Autonomous vehicles (AV), lidars are embracing their potential $8.4 billion-dollar market by 2033.

Where does 5G stand three years after its first commercialization in 2019? Let's start with the frequency band. We know that the sub-6 GHz (3.5 - 7 GHz) and millimeter wave (mmWave, >24 GHz) bands are the two new bands among the spectrum covered in 5G. Despite the hype surrounding mmWave, according to IDTechEx's "5G Market 2023-2033: Technology, Trends, Forecasts, Players" report, 53% of 5G commercial/pre-commercial services are actually based on sub-6 GHz, with mmWave accounting only for less than 10% of the market.

In 20 years, IDTechEx predicts electric cars will generate 76% of all e-transport revenues. Due to their scale, car markets create the largest opportunities for players in the electric vehicle supply chain, from advanced materials through to battery packs, power electronics, and electric motors.

Due to the labor shortage and decreasing costs of hardware, using robots to serve people has gained significant momentum over the past decade, with Tesla unveiling their humanoid robot "Optimus" at the electric vehicle maker's "AI Day" event last week.

Wednesday 12 October 2022 - IDTechEx forecasts the DNA sequencing market to exceed US$12 billion by 2033. This webinar will explore the growing DNA sequencing industry and evaluate the potential future of the market.

With the innovation of lidar beam steering technologies, continuous lidar cost reduction, as well as the progress of Advanced Driving Assistance System (ADAS) and Autonomous vehicles (AV), lidars are embracing their potential US$8.4 billion-dollar market by 2033, enabled by automotive applications, which can be further widely expanded to other areas such as robotics, industrial, smart city, and mapping.

Thursday 29 September 2022 - The webinar will cover 2022 H1 electric car sales; short term sales outlook and commentary; the latest EV policy by region; automaker and government EV targets; and powertrain trends which improve drive cycle efficiency

Since its inception, DNA sequencing has brought about major advancements in our understanding of biology. The breadth of information this technology can offer has the potential to revolutionize healthcare, drug discovery, and many other fields.

Thursday 8 September 2022 - 3D lidar market segment; Lidar for autonomous driving and ADAS; Technology analysis between TOF and FMCW; Technology analysis of different beam steering technologies such as mechanical lidar, MEMS, OPA, Flash and other solid-state lidars; Technology analysis of laser and receiver choices; Major players; Market outlook

While 2022 continues to add to the challenges electric vehicle (EV) makers face, markets are still growing. Indeed, electric car sales for the first half of 2022 reached ~3.5 million, according to IDTechEx research.

The automotive industry and many robotics start-ups have been promising that autonomous cars are just a couple of years away for many years now. It feels like this "just a couple of years" has been perpetually kicked down the road, with only incremental gains each time. However, Cruise, the robotaxi arm of General Motors, has recently been given approval to start charging passengers in San Francisco. So, is this an enormous leap forward for robotaxis, or just another incremental gain?