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Robotics News
Digitaltrends
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Watch Boston Dynamics’ Atlas robot happily working all by itself
- Boston Dynamics has released a video of its updated Atlas robot operating autonomously in workplace tasks using AI and machine learning tools.
- The video showcases Atlas moving engine covers between containers with efficiency, detecting and localizing objects using a machine learning vision model.
- The fully electric Atlas robot is designed to recover from action failures and is described as stronger, more dexterous, and more agile than its predecessor.
- Boston Dynamics aims to commercialize Atlas and deploy it in industrial settings alongside human workers.
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Unite
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Optimizing Company Workflows with AI Agents: Myth or Reality?
- Many companies rush to adopt AI without a clear strategy or defined objectives, leading to wasted resources and disillusionment.
- Data quality is also a critical concern, as AI systems are only as good as the data fed into them.
- Integration challenges can also pose significant obstacles, particularly for businesses relying on legacy systems, leading to difficulties in implementation.
- Despite these hurdles, AI agents have the potential to revolutionize business operations, with AI-powered chatbots handling routine inquiries and employees focusing on more strategic responsibilities.
- AI can also automate initial stages of recruitment and streamline processes in human resources, saving significant time and minimizing human error.
- Businesses looking to successfully integrate AI agents should adopt key strategies such as defining clear objectives, ensuring robust data management practices, and monitoring AI tools as they are being integrated.
- By viewing AI agents as powerful tools rather than magic solutions, businesses can enhance operations and drive success.
- The potential for AI agents is significant and it is likely that this technology will become increasingly impactful in the future.
- It is important to measure and compare productivity levels before and after integration of AI to determine the impact on the company.
- Businesses investing in AI should ensure that no sensitive and private data is being fed into the AI and foster a culture of adaptability and closely monitor their AI models.
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Unite
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Ashish Nagar, CEO & Founder of Level AI – Interview Series
- Ashish Nagar is the CEO and founder of Level AI, using artificial intelligence to transform contact center operations.
- He was a product leader on the Alexa team, continuously seeking opportunities to tackle more complex AI problems.
- Level AI has become a key player in the AI-driven contact center space, known for its cutting-edge products and superior implementation of artificial intelligence.
- Nagar talks about AI's ability to understand human speech and Level AI's mission to address the complexities of human language in a customer service environment.
- Level AI's NLU technology goes beyond basic keyword matching and its AI understands the intent behind a question.
- Level AI integrates with most CX software in the industry, whether it’s a CRM, CCaaS, survey, or tooling solution.
- Level AI's sentiment analysis detects seven different emotions, ranging from extreme frustration to elation, allowing us to measure varying degrees of emotions that contribute to our overall sentiment score.
- Nagar explains how Level AI ensures security and privacy by not outsourcing any of its generative AI capabilities to third-party vendors.
- The Series C investment will fuel Level AI’s strategic growth and innovation initiatives.
- Nagar believes that the role of AI in transforming customer service over the next decade lies in workflow automation and gaining insights from unstructured data, while ensuring the human connection with customers is still present.
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The Robot Report
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Atlas humanoid robot shows increasing competence in latest Boston Dynamics video
- Boston Dynamics Inc. released a new video showcasing its Atlas humanoid robot's increasing competence in handling large automotive parts autonomously.
- The robot utilizes machine learning and 3D vision to execute tasks and perceive the environment.
- Atlas humanoid demonstrates unique motions such as turning its head beyond human range of motion and walking backward with its hip joint turned 180 degrees.
- The video also showcases the robot's three-fingered hand for gripping and transferring items, indicating its capability to handle large and heavy objects.
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Securitysales
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How One Sherman, Texas School Integrated Technologies to Improve Safety and Learning
- Grayson Christian School in Texas has installed a cloud-based camera system to monitor activity throughout the school
- The school has additional cameras in remote areas, mounted on back of buildings to monitor the football field
- The cameras have captured data related to incidents on campus while alerting school administrators about possible threats
- The security system also features environmental sensors for humidity, air quality, temperature and smoking or vaping to notify school administrators about hazardous situations
- Seamless connectivity through visitor management system is crucial for reliable communication of visitors around the campus
- Other solutions teachers and administrators can integrate in campus operations include advanced technologies like AI, autonomous robotics, AR, VR, interactive smartboards, IoT, and LED signage
- Integrating new technologies enables schools to enhance and expand essential services for students, teachers and staff.
- Technology in schools not only improves the overall learning and educational environment, but also helps schools bolster cyber and physical security against bad actors
- Balancing many responsibilities, safety and security of students, faculty, staff, and visitors is of utmost importance, thus technology solutions provide peace of mind
- Security technology like autonomous security robots provides an extra level of security by patrolling large areas and providing real-time information through live feedback from robot's cameras
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Unite
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Disney Research Offers Improved AI-Based Image Compression – But It May Hallucinate Details
- Disney's Research arm introduces new method of compressing images, reducing the storage requirements. It uses the open source Stable Diffusion V1.2 model and produces realistic images at low bitrates.
- The proposed method uses the traditional quantized image to treat the noise in an LDM's denoising process instead of random noise.
- It outperforms the former methods in terms of accuracy and detail while requiring fewer training costs. Researchers used Vimeo-90k dataset for its optimization and the testing datasets were Kodak, CLIC2022, and COCO 30k.
- The output might have hallucinations of details still, unlike JPEG which gives over-smoothed areas of an image. The wrong details might affect art depictions, whereas they can cause significant issues in criminal, medical, and other critical use cases.
- Disney has been experimenting with machine learning for compression, and one researcher was involved in a VAE-based project for improved video compression in 2020. Researchers behind the lossy image codec has committed to do further research into this area.
- The paper titled 'Lossy Image Compression With Foundation Diffusion Models' and comes from four researchers at ETH Zurich and Disney Research. The authors compare their new method to a variety of rival approaches from generative and diffusion-based models.
- The key insight of the new method is that quantization error widely used in image compression is similar to noise used in diffusion models. The proposed method exploits this idea to discard the information through their quantization transformation that can be synthesized during a pre-constructed diffusion process.
- The system utilizes a Variational Autoencoder (VAE) to encode an image into its compressed latent representation and then quantized back into a bitstream for further processing.
- The amount of noise in the latent encoding needs to be inspected when choosing the best number of denoising steps. The researchers ran quantitative tests and user studies to evaluate their method.
- The proposed method proposes a significant reduction in the speculation required for this work on hyperscale data, which could provide additional flexibility and the likelihood of broader adoption.
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The Robot Report
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2025 RBR50 Robotics Innovation Awards open for nominations
- The Robot Report is seeking nominations for its 2025 RBR50 Robotics Innovation Awards, which recognizes innovative and influential organizations in robotics.
- The deadline for submissions is Friday, December 20, 2024, and winners will be celebrated at an awards gala during the Robotics Summit & Expo in Boston on April 30-May 1, 2025.
- Awards categories include Startup of the Year, Application of the Year, Robot of the Year, Technologies, Products, and Services as well as Business and Management, Applications, and Markets.
- The RBR50 winners will be celebrated at an awards gala during the Robotics Summit & Expo, which will be held on April 30-May 1, 2025 in Boston.
- A new category added this year is the Robots for Good Award, which celebrates a robot that positively impacts society by addressing social challenges, promoting sustainability, or improving quality of life.
- Benefits for RBR50 winners include a press release listing the winners that will be distributed to major newswires, as well as listings and profiles on WTWH Media’s Robotics Group sites and year-long coverage.
- Submissions must be for innovations executed between Jan. 1, 2024 and Dec. 31, 2024, specifically categories like Robotic of the Year, Startup of the Year, Application of the Year and others.
- Past RBR50 winners have proudly displayed their status in their RoboBusiness and Robotics Summit booths, headquarters, websites and campaigns.
- To submit for consideration, companies must complete a submission form including company/organization name, website, a primary contact email, company/group location, and innovation description with added details.
- Email Steve Crowe with any award-related questions or Courtney Nagle for sponsorship information.
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TechCrunch
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Boston Dynamics’ electric Atlas humanoid executes autonomous automotive parts picking
- Boston Dynamics' electric Atlas humanoid is executing autonomous automotive parts picking.
- The robot performs tasks autonomously, without prescribed or teleoperated movements.
- The robot can detect and react to changes in the environment using sensors.
- The video showcases the robot's adaptive actuators and its efficiency in completing tasks.
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Hackaday
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Supercon 2023: Cuddly Companion Bots
- Angela Sheehan, an artist and maker, is working on creating cuddly companion bots that are inspired by sci-fi robots such as Data from Star Trek, K-2SO from Rogue One, and Baymax from Big Hero 6.
- Angela spoke at the 2023 Hackaday Supercon about her efforts to create companion bots, and she brought along her own creation, Nova. The plush critter has wings that can flap and eyes that can blink, which Angela created using her skills in sewing, 3D modelling, and 3D printing.
- Through field testing at her library makerspace, Angela discovered that people had strong emotional reactions to Nova and wanted to pet her when they saw her. Angela explains how she designed Nova's face to make it feel more lifelike, which was a crucial part of making her a good companion.
- Angela also covers techniques for making companion bots more cuddle-friendly and modularity, and offers advice for making builds more accessible. She describes the unintended happy accident of making Nova's servos sound like a purr, which people really enjoy.
- Although companion bots are yet to have their killer app, people can start building their own robot companion with maker skills, enthusiasm, and the will to succeed.
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TechCrunch
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Bifrost helps industrials speed up model training with its 3D data generation platform
- Bifrost, a 3D data generation platform, has raised $8 million in a Series A funding round led by Carbide Ventures.
- The startup's platform helps robotics and industrial companies speed up the training of AI models by generating simulated 3D worlds.
- Unlike competitors, Bifrost's platform does not require a dedicated 3D team, giving AI engineers an advantage in developing AI systems.
- Bifrost plans to use the funding to launch the platform publicly and hire more staff for product development.
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The Robot Report
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Silicon Sensing Systems tests IMU with Science Tokyo for space applications
- Silicon Sensing Systems and the Institute of Science Tokyo have jointly tested the DMU41 inertial measurement unit (IMU) for low earth orbit applications.
- The DMU41 is a compact IMU with nine degrees of freedom, offering high performance and low power consumption.
- The test program aimed to assess the DMU41's suitability for space platform guidance and attitude control in commercial low earth orbit.
- Silicon Sensing Systems sees the growing LEO satellite market as a significant opportunity for their IMU technology.
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Livescience
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Drones could use 'robotic cat's eyes' to track targets more precisely than ever before
- A computer vision system inspired by cats' eyes could enhance object detection and recognition for robots, drones, and self-driving cars.
- The system uses lenses and sensors modeled on a cat's eye structure, allowing for improved visibility in various lighting conditions.
- It includes a slit-like aperture to filter out unnecessary light and reflective layers to enhance visibility in low-light conditions.
- The system has the potential to be integrated into military drones, surveillance robots, and other machines that require precise object tracking in changing environments.
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The Robot Report
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Third Wave Automation picks up Series C funding for robotic forklifts
- Provider of autonomous high-reach forklifts, Third Wave Automation, raised a $27m Series C round led by Toyota's growth fund.
- Third Wave's platform allows users four modes of operation: fully autonomous, remote operation, remote assist and manual operation.
- With the funding, Third Wave plans to scale its Shared Autonomy Platform, expand TWA Reach Forklift manufacturing and support future technology development.
- Third Wave CEO Arshan Poursohi said collaborating with Toyota will play a vital role and empower more US warehouse operators to boost productivity and enhance operational flexibility.
- The TWA Reach forklifts can be converted to manual operation with the flip of a switch and can function fully autonomously to acquire, lift and move pallets of goods.
- Third Wave has created the Armada Fleet Management System, which integrates with other warehouse management systems, allowing operators to execute, monitor workflows and dynamically configure warehouse zones.
- The TLA Reach forklifts provide improved visibility and collision avoidance. They use obstacle detection systems guided by 3D lidar and 3D camera feeds, to offer remote operators insights into the location of potential obstacles, even those not visible to the naked eye.
- Third Wave aims to reshape how warehouse operators perceive autonomous forklifts, and says the global market opportunity for automation of goods handling in warehouses and logistics could be up to $100bn/year.
- The funding round includes MoneyTree and Qualcomm Ventures plus founding investors Norwest Venture Partners and Innovation Endeavors.
- Holman Logistics plans to automate various material handling tasks, including managing full-pallet inbound movements and replenishing empty locations, using Third Wave's forklifts.
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The Robot Report
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China launches data-sharing initiative for humanoid developers
- China has launched a data-sharing initiative for its domestic humanoid companies to accelerate innovation.
- The National Local Joint Humanoid Robot Innovation Center is spearheading the project.
- The initiative aims to address the need for vast amounts of training data for humanoid robots.
- China has released guidelines and industry standards for humanoid classification and development.
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