Navigating Dull, Dirty, Dangerous Autonomously

Robots and automated systems are ideally suited to take on repetitive, dirty, and dangerous jobs. These systems have already proven their value in commercial environments. For example, Arkansas State University has implemented Husqvarna autonomous mower systems that have significantly reduced the cost of maintaining their grounds. Autonomous navigation presents some real challenges, especially as the need for these technologies expands. Here are some of the most critical factors that will affect the implementation of autonomous robotics now and in the future.

Understanding Autonomous Navigation

According to a report released by the White House in December 2016, autonomous robotics systems will increase productivity in many sectors of the economy. Artificial intelligence is already making real progress in aiding autonomous navigation for flying robots and drones, with The Drive reporting that an AI simulation is consistently defeating human opponents in virtual dogfights. However, translating this type of success to the real world will require advanced navigation solutions that address the challenges of autonomous robotics and navigation effectively.

 

How Does Autonomous Navigation Work?

Understanding the necessary steps to allow robots and automated devices to take over many dull, difficult, and dangerous jobs can shed some light on the challenges involved in developing autonomous robot navigation systems. Three primary elements go into the development of autonomous robotic navigation:

  • Guidance
  • Navigation using GPS and other systems
  • Control

These tasks work together to allow autonomous robotics systems to perform appropriately in real-world situations.

Guidance

Guidance determines the desired trajectory for the vehicle or robot. This includes targeting, adjustments to speed and acceleration, and turning as required to reach the designated target.

Navigation

During the movement of the robot or autonomous device, navigation provides information on the precise speed and velocity of the vehicle. Attitude is also vital for autonomous navigation for flying robots.

Control

Control modules and software manage the forces needed to propel robots and to ensure the greatest degree of stability when traversing various types of terrain or in the air.

Each of these three elements is necessary to achieve the desired results for navigational autonomy in practical applications. Collectively referred to as GNC, guidance, navigation and control are of critical importance when planning robotics and navigation projects.

Challenges of Autonomous Robotics and Navigation

While several practical hardware solutions are available for autonomous robot navigation and vehicle navigation requirements, a standard for software systems is still not in place. This has created some issues for GNC in the autonomous navigation field:

  • Data filtering is essential to separate the relevant information from the large data sets collected by the sensor hardware. Kalman filtering, which is also called linear quadratic estimation, is one solution to this problem. Some inaccuracies in the data filtering process still occur when using this method.
  • Currently, no standardized plug-and-play solution is available that spans industries. This means that autonomous navigation for flying robots and spacecraft uses different software standards than autonomous vehicle navigation and that different autonomous mower systems may operate under very different software standards, making it difficult to integrate autonomous navigation devices and robots into one system.
  • Regarding the issue of GPS-denials, the University of Illinois puts it best, “In a GPS-denied environment, such as on a river where there are overhanging canopies or trees, the signal becomes weak, so we want to develop an autonomous vision-based navigation algorithm that can be used without GPS or in conjunction with weak GPS signals to navigate through these unknown areas.”
  • Visual simultaneous localization and mapping (Visual SLAM) is still in the first stages of development. Simply put, it is a process that allows autonomous navigation systems to determine the attitude and position of a sensor in the context of its immediate surroundings by mapping the environment around the sensor. When GPS systems are intentionally spoofed by hackers or deny service, these positioning systems can provide inaccurate data to autonomous robotics implementations. Visual SLAM can provide a solid fallback position. In some environments, it may serve as the primary method for autonomous vehicle navigation.

The right autonomous robotics software solution will address data filtering, standardization and GPS denials in a practical way. At Inertial Sense, we are revolutionizing the way in which autonomous movement is implemented across a wide range of industries.

The LUNA Software Platform

The LUNA platform by Inertial Sense provides a true plug-and-play solution for companies interested in adding automation to their equipment.

  • LUNA uses Visual SLAM technology to increase accuracy even when GPS systems are not available or are inaccurate through human error or intentional spoofing.
  • Our standardized software allows interoperability between different hardware systems and creates a standard for software in vehicle and flight automation.
  • Inertial Sense sensors allow for dual-GPS antenna and RTK capabilities paired with kalman data filtering requirements to increase accuracy and relevance for the information collected by our precision sensors.

Our expertise and experience makes it simple to manage projects ranging from autonomous mowers to spacecraft and everything in between.

Inertial Sense offers autonomous navigation for a world in motion. To learn more about our solutions, visit us  https://inertialsense.com or give us a call at 1-801-515-3750. We look forward to working with you to build a brighter, more automated future and take on the challenges of dull, dirty, and dangerous jobs with the most advanced solutions in robotics and navigation technology.

Middle-East Touch Sensor Market

Middle-East Touch Sensor Market is expected to reach USD XX Billion by 2026 from USD XX Billion in 2018 at a CAGR of XX% (Detailed analysis of the market CAGR is provided in the report).

A touch sensor is capable of detecting touch without relying only on physical contact. The touch sensors are nowadays used across numerous applications like mobile phones, remote controls, and control panels among others. The present-day touch sensors are capable of replacing mechanical buttons and switches. These touch sensors have simple rotational sliders and touchpads along with the rotary wheels that offer substantial advantages for spontaneous user interfaces. Touch sensors are far more convenient and reliable without using the movable parts. The use of these touch sensors provides greater liberty to the system designer together with reducing the overall system cost.

The market for touch sensors in Middle-East is divided into technology, application, and geography. Based on technology, the market includes a capacitive and resistive touch sensor, On the basis of applications, the market is segmented into Smartphones, Laptops, Tablets, all-in-one (AIO) PCs, and monitors.

Resistive touch screens have two layers comprising of a flexible top layer and firm bottom layer detached using the insulating dots. The capacitive technologies detect touch by calculating the capacitance at every addressable electrode. Both the resistive and capacitive touch sensor are used across various application areas differing across industry verticals.

The term multi-touch is pretty common in use and is used for describing a touch screen that may recognize multiple points of contact, using two or more fingers simultaneously. Touchscreen manufacturers in Middle-east is focusing on the development of multi-touch state-of-the-art screens. Sensing the pressure applied on the display by adopting the built-in force sensors around the screen is applied by most of the manufacturers. This enables pressure sensitivity for drawing & handwriting, further leading to new possibilities using the force sensitive user interface interaction. The multi-touch options for the Middle-east market includes multi-touch table and wall displays to create interactive presentations using your existing files. Companies are developing fully customizable multi-touch application suite as well that offers a collection of applications to present products or services in a unique way.

Dubai is one city in Middle-East that has seen immense growth and development in the past few years. Dubai is planning on changing itself as a smart city by developing state-of-the-art infrastructure and pushing the development plans under ‘grand strategy’ framework. Developing the smart city plan takes into consideration smart cyber-security as well. With the involvement of more than 1.2 billion people, value and stakes remain high for delivering innovative touch sensing technologies that can be incorporated within the smart homes. These smart homes are a part of the smart cities and have provided a major boost to the touch sensor market in Middle-east.

Middle-East has seen immense growth in the last few years. GCC countries and Israel are the ones profiled under the scope of Middle-east Touch Sensor market. The huge technological advancement, investment from off-shore companies along with development of smart cities to use latest touch sensing technologies are some of the major factors that have boosted the market for touch sensors in Middle-East.

https://www.maximizemarketresearch.com/market-report/middle-east-touch-sensor-market/3234/

Middle-east Wireless EV Charging Market

Middle-east Wireless EV Charging Market is expected to reach USD XX Billion by 2026 from USD XX Billion in 2018 at a CAGR of XX% (Detailed analysis of the market CAGR is provided in the report).

The future of urban mobility lies in electric and wireless technology. The wireless charging holds the key for mass adoption of electric vehicles. This EV charging technology uses wireless energy transfer for removing the plug-in cord used by most electric vehicles nowadays. The technology of EV charging works through fitting cars with a receiver pad enabling automatic charging while the car is parked using a transmitter pad embedded within the road.

The report study has analyzed revenue impact of covid-19 pandemic on the sales revenue of market leaders, market followers and disrupters in the report and same is reflected in our analysis.

The car manufacturers globally are aiming to embed wireless charging in uninterrupted strings along the road, helping EVs to constantly power when driven over them. Wireless EV charging needs to address certain key challenges for electric car uptake such as charging convenience, battery size, and cost. These technologies could be rolled out within the public parking facilities by including more charging spots along with a reduction in battery size for EVs.

Wireless EV Charging market within Middle-east is diversified into application, component, power supply range, charging type, vehicle type, and geography. Home charging unit and public charging station are the two types based on which the application segment is bifurcated for the wireless EV charging market. Public charging station formed the largest type holding the maximum market share followed by the home charging unit.

The growth of electric vehicles and higher subsidies from the government for boosting renewable areas of commuting has together enhanced the overall market share of a public charging station. By component, the wireless EV charging market involves base charging pad, a power control unit, and vehicle charging pad. The power control unit is the largest segment owing to its application across home stations and public charging stations.

The power supply range segment for the market comprises of 3–<11 kW, 11–50 kW and >50 kW. The 3–<11 kW held the largest segment owing to its large-scale applications in the home stations that do not need fast charging pods. The >50 kW type in the power supply range segment accounted the highest growth in the current forecast period. The battery electric vehicles and plug-in hybrid electric vehicles are different vehicle type considered with the scope of the market study. The battery electric vehicles formed the largest market holding the maximum market share and the plug-in hybrid electric vehicles monitoring the fastest growth rate.

Middle-east has seen immense growth in the last few years. GCC countries and Israel are the ones profiled under the scope of Middle-east wireless EV charging market. The huge investments made by car manufacturers, quick infrastructural development, and economic growth to boost the usage of electric cars are certain key aspects that have boosted overall market growth in Middle-east for wireless EV charging.

https://www.maximizemarketresearch.com/market-report/middle-east-wireless-ev-charging-market/3114/