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Luwu Intelligence launches ‘world’s first’ Raspberry Pi robotic dog with arm

February 3, 2023 by Mai Tao Leave a Comment

Luwu, a STEM education technology company focused on the research and development of advanced robotics, has launched XGO 2, an advanced desktop-sized AI quadruped robot with an arm.

This state-of-the-art robot brings a new level of intelligence and functionality to the world of robotics. XGO 2 is now available on Kickstarter: https://www.kickstarter.com/projects/xgorobot/xgo-2-worlds-first-raspberry-pi-robotic-dog-with-an-arm

XGO 2 is an intelligent and agile robotic dog, capable of sophisticated movements, 12 degrees of freedom, and a variety of motions. Its open-source nature allows users of all programming levels to program and customizes it with Blocky and Python. [Read more…] about Luwu Intelligence launches ‘world’s first’ Raspberry Pi robotic dog with arm

Filed Under: News, Robotics Tagged With: advanced, ai, allows, arm, choice, control, dog, easy, education, intelligence, kickstarter, levels, luwu, making, pi, programming, raspberry, robot, robotic, robotics, stem, technology, users, xgo

Why Artificial Intelligence is Digital Marketing’s Future

February 1, 2023 by Mark Allinson Leave a Comment

When it comes to business, marketing is the area where many experts widely predict that enormous change will occur due to artificial intelligence.

Moreover, beyond sales, studies have found this single function where the technology is likely to have the most impact financially.

What this means is that marketers who aren’t leveraging the power of AI are likely to miss out on all of the transformative advantages it offers. For this reason, it’s considered to be digital marketing’s future. [Read more…] about Why Artificial Intelligence is Digital Marketing’s Future

Filed Under: Artificial Intelligence Tagged With: ai, artificial, businesses, content, demand, experienced, forecasting, future, help, intelligence, marketing, products, specific, ways, writers

Lockheed Martin Ventures invests in on-demand manufacturing startup Machina Labs

January 29, 2023 by Mark Allinson Leave a Comment

Machina Labs has completed an investment by Lockheed Martin Ventures (LMV), the venture arm of Lockheed Martin Corporation, a global security and aerospace company.

Machina Labs combines AI and robotics to rapidly manufacture advanced sheet metal products. This latest funding brings the total raised by Machina Labs to $21.8 million.

The investment will be used to accelerate company growth to meet customer demand, and to expand R&D into additional processes and metallurgical offerings. [Read more…] about Lockheed Martin Ventures invests in on-demand manufacturing startup Machina Labs

Filed Under: Business, News Tagged With: ai, combines, investment, labs, latest, lockheed, machina, manufacturing, martin, metal, platform, products, robotics, sheet, ventures

Brain Corp partners with Google Cloud to introduce analytics solution for retailers

January 20, 2023 by Mark Allinson Leave a Comment

Brain Corp, an artificial intelligence company creating technologies in robotics, is partnering with Google Cloud to launch “BrainOS Inventory Insights”, a new and proprietary solution able to deliver next generation in-store inventory analytics to retailers. 

Brain Corp, which already powers the largest global fleet of autonomous robots in public spaces and the world’s largest fleet of robotic inventory scanners, will now offer retail customers “a true end-to-end solution” for analyzing the inventory data collected by its BrainOS powered inventory scanning robots.

Using BrainOS Inventory Insights, retailers will be able to quickly identify out-of-stock and low stock events, assess product details such as where an item is (product location), if it’s in the correct location (planogram compliance) and ensure it’s priced correctly (​​price tag compliance). [Read more…] about Brain Corp partners with Google Cloud to introduce analytics solution for retailers

Filed Under: Computing, News Tagged With: accurate, ai, analytics, brain, brainos, cloud, compliance, corp, customer, experiences, google, improve, increase, insights, inventory, product, providing, recognizer, retail, retailers, solution, tag, task

How artificial intelligence will impact customer service: 5 Benefits AI has to offer

January 20, 2023 by Mark Allinson Leave a Comment

When we think of customer service, what usually comes to mind are polite and helpful people. But what if technology could do that job? Welcome to the era of artificial intelligence and its impact on customer service.

The progression of artificial intelligence offers the potential for major improvements in customer service for businesses worldwide. It can be applied to various elements of customer support operations such as automated communication, problem resolution, and personalization.

Through implementing technology such as AI-powered call intelligence into existing systems, organizations have seen a rise in efficiency and customer satisfaction. [Read more…] about How artificial intelligence will impact customer service: 5 Benefits AI has to offer

Filed Under: Business Tagged With: ai, artificial, businesses, customer, intelligence, service

Epson signs Motion Automation Intelligence as distributor in central and southeast US regions

January 18, 2023 by Mark Allinson Leave a Comment

Epson Robots, one of the largest robot manufacturers in the world, has signed Motion Ai, a supplier of automation products and motion control solutions, as an official distributor of Epson Robots automation solutions.

Partnering with the industry’s leading manufacturers, Motion Ai is a one-stop-shop for automation products and custom solutions for businesses in several industries including semiconductor, pharmaceutical, medical, logistics, automotive, aerospace and more.

Jim Hennen, vice president, Motion Ai, central region, says: “Interest in automation has significantly increased as businesses are seeking new ways to fill labor shortages. [Read more…] about Epson signs Motion Automation Intelligence as distributor in central and southeast US regions

Filed Under: Industrial robots, News Tagged With: ai, automation, businesses, commitment, epson, motion, products, providing, robots, solutions

8 Industries Benefiting from Artificial Intelligence Software Right Now

January 14, 2023 by Mark Allinson Leave a Comment

The fast-paced technological advancements of recent years have enabled artificial intelligence (AI) to become an increasingly prominent part of our daily lives, transforming the way we communicate and consume media.

AI software is now being implemented across a range of different industries, from retail to finance, enabling companies to streamline processes, boost efficiency, and remain competitive in their markets. [Read more…] about 8 Industries Benefiting from Artificial Intelligence Software Right Now

Filed Under: Artificial Intelligence Tagged With: ai, algorithms, artificial, businesses, companies, easier, efficiency, finance, health, improve, industries, insurance, intelligence, medical, operations, services, software, technology

4 Ways Marketing Can Use Automated Systems for Better Success

January 4, 2023 by Mark Allinson Leave a Comment

Autonomous systems and software rightfully enjoy more demand in various spheres, including marketing. In an era of digital growth, companies must adapt to new realities and follow their customers’ needs.

Often referred to as “marketing automation,” this software helps marketers achieve many key business goals, such as boosting website traffic, increasing conversion rates, and generating more leads. But let us dive into detail. [Read more…] about 4 Ways Marketing Can Use Automated Systems for Better Success

Filed Under: Automation Tagged With: ai, analyze, automated, automation, better, business, companies, competitive, customer, customers, data, help, marketers, marketing, programs, rank, software, stay, systems, technology, tools

Intel Labs introduces SPEAR: An open-source photorealistic simulator for embodied AI

December 25, 2022 by Mark Allinson Leave a Comment

By Mike Roberts, a research scientist at Intel Labs, where he works on using photorealistic synthetic data for computer vision applications

Interactive simulators are becoming powerful tools for training embodied artificial intelligence (AI) systems, but existing simulators have limited content diversity, physical interactivity, and visual fidelity.

To better serve the embodied AI developer community, Intel Labs has collaborated with the Computer Vision Center in Spain, Kujiale in China, and the Technical University of Munich to develop the Simulator for Photorealistic Embodied AI Research (SPEAR).

This highly realistic simulation platform helps developers to accelerate the training and validation of embodied agents for a growing set of tasks and domains.

With its large collection of photorealistic indoor environments, SPEAR applies to a wide range of household navigation and manipulation tasks. Ultimately, SPEAR aims to drive research and commercial applications in household robotics and manufacturing, including human-robot interaction scenarios and digital twin applications.

Figure 1. Scenes may be cluttered with objects that can be manipulated individually. A strong impulse can be applied to all objects at the start of the simulation to create the disordered environment. Messy room configurations could serve as initial states for a cleaning task.

To create SPEAR, Intel Labs worked closely with a team of professional artists for over a year to construct a collection of high-quality, handcrafted, interactive environments. Currently, SPEAR features a starter pack of 300 virtual indoor environments with more than 2,500 rooms and 17,000 objects that can be manipulated individually.

These interactive training environments use detailed geometry, photorealistic materials, realistic physics, and accurate lighting. New content packs targeting industrial and healthcare domains will be released soon.

By offering larger, more diverse, and realistic environments, SPEAR helps throughout the development cycle of embodied AI systems, and enables training robust agents to operate in the real world, potentially even straight from simulation.

SPEAR helps to improve accuracy on many embodied AI tasks, especially traversing and rearranging cluttered indoor environments. Ultimately, SPEAR aims to decrease the time to market for household robotics and smart warehouse applications, and increase the spatial intelligence of embodied agents.

Challenges in Training and Validating Embodied AI Systems

In the field of embodied AI, agents learn by interacting with different variables in the physical world. However, capturing and compiling these interactions into training data can be time consuming, labor intensive, and potentially dangerous.

In response to this challenge, the embodied AI community has developed a variety of interactive simulators, where robots can be trained and validated in simulation before being deployed in the physical world.

While existing simulators have enabled rapid progress on increasingly complex and open-ended real-world tasks such as point-goal and object navigation, object manipulation, and autonomous driving, these sims have several limitations.

Simulators that use artist-created environments typically provide a limited selection of unique scenes, such as a few dozen homes or a few hundred isolated rooms, which can lead to severe over-fitting and poor sim-to-real transfer performance.

On the other hand, simulators that use scanned 3D environments provide larger collections of scenes, but offer little or no interactivity with objects.

In addition, both types of simulators offer limited visual fidelity, either because it is too labor intensive to author high-resolution art assets, or because of 3D scanning artifacts.

Figure 2. SPEAR enables embodied AI developers to train a navigation policy on an OpenBot entirely in simulation.

Overview of SPEAR

SPEAR was designed based on three main requirements:

  1. support a collection of environments that is as large, diverse, and high-quality as possible;
  2. provide sufficient physical realism to support realistic interactions with a wide range of household objects; and
  3. offer as much photorealism as possible, while still maintaining enough rendering speed to support training complex embodied agent behaviors.

Motivated by these requirements, SPEAR was implemented on top of the Unreal Engine, which is an industrial-strength open-source game engine. SPEAR environments are implemented as Unreal Engine assets, and SPEAR provides an OpenAI Gym interface to interact with environments via Python.

Figure 3. The LoCoBot Agent is suitable for both navigation and manipulation in simulation. This agent’s realistic gripper makes it ideal for rearrangement tasks.

SPEAR currently supports four distinct embodied agents:

  • The OpenBot Agent provides identical image observations to a real-world OpenBot, implements an identical control interface, and has been modeled with accurate geometry and physical parameters. It is well-suited for sim-to-real experiments.
  • The Fetch Agent and LoCoBot Agent have also been modeled using accurate geometry and physical parameters, and each has a physically realistic gripper. These agents are ideal for rearrangement tasks.
  • The Camera Agent can be teleported anywhere, making it useful for collecting static datasets.

Figure 3. The LoCoBot Agent is suitable for both navigation and manipulation in simulation. This agent’s realistic gripper makes it ideal for rearrangement tasks.

By default, agents return photorealistic egocentric observations from camera sensors, as well as wheel encoder states and joint encoder states. Additionally, agents can optionally return several types of privileged information.

First, agents can return a sequence of waypoints representing the shortest path to a goal location, as well as GPS and compass observations that point directly to the goal, both of which can be useful when defining navigation tasks.

Second, agents can return pixel-perfect semantic segmentation and depth images, which can be useful when controlling for the effects of imperfect perception in downstream embodied tasks and collecting static datasets.

SPEAR currently supports two distinct tasks:

  • The Point-Goal Navigation Task randomly selects a goal position in the scene’s reachable space, computes a reward based on the agent’s distance to the goal, and triggers the end of an episode when the agent hits an obstacle or the goal.
  • The Freeform Task is an empty placeholder task that is useful for collecting static datasets.

SPEAR is available under an open-source MIT license, ready for customization on any hardware. For more details, visit the SPEAR GitHub page.

Filed Under: Features, Science Tagged With: agent, agents, ai, embodied, environments, goal, navigation, objects, photorealistic, physical, realistic, simulation, simulators, spear, tasks, training

The 5 Kinds of Contracts Every AI or Robotics Company Should Have

December 22, 2022 by Mark Allinson Leave a Comment

The AI/robotics world is still a relatively new one, and therefore the laws governing their usage are still in the process of being formed. Nonetheless, it is critical that contracts for AI/robotics be utilized in their sale/usage as these machines require the same type of protection that other services do.

Which contracts need to be signed, though? Well, there are five major types that every company in the industry should make note of so as not to fall victim to data leaks, sub-par services, or other unexpected problems. [Read more…] about The 5 Kinds of Contracts Every AI or Robotics Company Should Have

Filed Under: Business Tagged With: agreement, ai, ai/robotics, business, companies, company, conditions, confidential, contract, contracts, customer, customers, industry, legal, nda, parties, sales, services, technology, type, vendors

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Latest news

  • Geek+ provides 82 robots to C-StoreMaster’s new $20 million distribution warehouse in Huntsville, Alabama
  • Flexiv launches ‘revolutionary’ force-controlled parallel robot
  • The Core Concepts of Successful Online Stock Investing
  • UPS and Gap units partner to offer ‘unmatched automation and supply chain capabilities’ to apparel merchants
  • stow Robotics and Phononic collaborate to design cold chain fulfillment solutions
  • Three strikes and you’re out! Humans give up on robots after multiple mistakes
  • China overtakes USA in robot density
  • Luwu Intelligence launches ‘world’s first’ Raspberry Pi robotic dog with arm
  • Ronovo Surgical raises $50 million to commercialize robotic laparoscopy system
  • Wandelbots expands no-code solution to US with Yaskawa as early customer

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