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Robotics News
Unite
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Fredrik Danielsson, Principal Product Manager at Tiny – Interview Series
- Fredrik Danielsson is the principal product manager of TinyMCE, an enterprise-grade WYSIWYG rich text editing component.
- He revels in the detail as he specializes in web apps and services that serve the precise needs of the enterprise sector.
- The main challenge of TinyMCE has been keeping up with the ever-evolving tech landscape as the web development community loves new and fresh.
- TinyMCE prioritizes its customers, so it works hard to implement the latest trends meeting modern expectations.
- The capabilities of TinyMCE are powerful enough to meet different business scales and sizes, making it crucial for content management.
- From the perspective of Fredrik, AI is quite vertical and solves well-defined problems quite well.
- Fredrik Danielsson sees AI as changing how we create, edit and review content, not at the fundamental level, but through mundane and time-consuming task automation.
- To create or improve web-based content editing tools, product managers need to be picky, flexible, and think about the content creation workflow.
- For future versions of TinyMCE, the focus will be on how generative AI can improve content creation and how it will be applied to the human interface of the generated content.
- TinyMCE serves as a ready-made component, and being open to adjustments to take advantage of its capabilities is important.
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The Robot Report
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Exotec to discuss 5 change management strategies for implementing warehouse automation
- Exotec is hosting a free webinar to discuss 5 change management strategies for implementing warehouse automation.
- The webinar will cover involving stakeholders, fostering open communication, reassuring workers, and delivering effective training.
- Race Kangas, the deployment director at Exotec, will share insights and best practices for successful automation deployment.
- The webinar will take place on Thursday, May 16, 2024, and will be available on demand after the broadcast date.
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Ubergizmo
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Intrinsic And NVIDIA Collaborate To Enhance Autonomous Robotic Grasping
- Intrinsic, an AI robotics company, is collaborating with NVIDIA to enhance autonomous robotic manipulation.
- The partnership aims to introduce cutting-edge dexterity and modular AI capabilities for robotic arms.
- NVIDIA's Isaac Manipulator offers foundation models and GPU-accelerated libraries, facilitating AI model training and task reprogramming.
- The collaboration aims to address the challenge of robotic grasping and revolutionize industrial manufacturing.
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The Robot Report
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Symbotic brings in $424M in Q2 2024
- Symbotic Inc. reported $424 million in revenue and a net loss of $41 million for Q2 2024.
- The company achieved an adjusted EBITDA of $22 million and made progress in software and hardware development.
- Symbotic's cash, cash equivalents, and marketable securities increased by $276 million to $951 million.
- For Q3 2024, the company expects revenue of $450 million to $470 million and adjusted EBITDA of $27 million to $29 million.
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Nvidia
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NVIDIA and Alphabet’s Intrinsic Put Next-Gen Robotics Within Grasp
- Intrinsic, an AI robotics company at Alphabet, integrates NVIDIA AI and Isaac platform technologies for advancements in autonomous robotic manipulation.
- The collaboration between NVIDIA and Intrinsic showcases the potential for universally applicable robotic-grasping skills.
- NVIDIA's Isaac Manipulator and foundation models enable industrial automation companies to build scalable workflows for dynamic manipulation tasks.
- Intrinsic's prototype, developed with the help of NVIDIA Isaac Sim, demonstrates improved robot grip capabilities for pick-and-place tasks.
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The Robot Report
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FANUC launches explosion-proof painting cobot
- FANUC America has launched its CRX-10iA/L painting collaborative robot, positioning it as the company's first explosion-proof (ex-proof) collaborative paint robot.
- The robot is designed to comply with stringent explosion-proof safety standards and can be used for painting, powder coating, and gel coating applications.
- Users can program the robot using the FANUC CRX Tablet Teach Pendant, making it easy to create paint path programs through a graphical interface.
- The CRX-10iA/L Paint cobot has a payload of 10 kg, a reach of 1,418mm, and is maintenance-free for 8 years, with full optimization capabilities and integration with other equipment.
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Unite
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MaxDiff RL Algorithm Improves Robotic Learning with “Designed Randomness”
- Northwestern University engineers have developed a new AI algorithm called Maximum Diffusion Reinforcement Learning (MaxDiff RL) to help robots learn complex skills quickly and safely. The algorithm encourages robots to collect high-quality data autonomously through the concept of reinforcement learning and “designed randomness”. The improved learning process leads to increased reliability, making robots powered by MaxDiff RL more adaptable and capable of handling a wide range of challenges. The algorithm's versatility means it has the potential to revolutionize applications like household assistants, industrial automation, self-driving cars, and delivery drones.
- Embodied AI systems, like robots, must collect data independently, navigating the complexities of the physical world, where a single failure can have catastrophic implications. MaxDiff RL bridges the gap between disembodied and embodied AI, generating diverse, comprehensive data by exploring environments randomly.
- The researchers tested the algorithm using computer simulations, tasking robots with performing a range of standard tasks. Using MaxDiff RL robots, they demonstrated faster learning speeds and greater consistency in activating tasks. Even robots with no prior knowledge were able to accomplish tasks at the first attempt.
- MaxDiff RL is an invaluable tool for the future of robotics as it addresses key issues that have long hindered the field of smart robotics, paving the way for reliable decision-making in increasingly complex tasks and environments.
- MaxDiff RL opens possibilities for real-world applications, from enhancing safety and efficiency in transportation and manufacturing to revolutionizing the way we live and work alongside robotic assistants.
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VentureBeat
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Nvidia’s DrEureka outperforms humans in training robotics systems
- Large language models (LLMs) can accelerate the training of robotics systems in super-human ways according to researchers at Nvidia, University of Pennsylvania, and the University of Texas.
- The study introduces DrEureka, a technique that creates reward functions and randomisation distributions for robotics systems with a high-level task description.
- DrEureka is a faster and more efficient solution for transferring learned policies from simulated environments to the real world.
- LLMs can combine their vast world knowledge and reasoning capabilities with the physics engines of virtual simulators to learn complex low-level skills.
- DrEureka uses a language-model driven pipeline for sim-to-real transfer with minimal human intervention.
- Policies trained using DrEureka outperform the classic human-designed systems for quadruped locomotion by 34% and 20% in forward velocity and distance travelled, across various real-world evaluation terrains.
- Best policy trained by DrEureka for robotic hands performed 300% more cube rotations than human-developed policies.
- The safety instruction included in the task description plays an important role in ensuring that the LLM generates logical instructions that transfer to the real world.
- DrEureka demonstrates the potential of accelerating robot learning research by using foundation models to automate the difficult design aspects of low-level skill learning.
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The Robot Report
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SwRI releases CAD-based toolkit for robotics development
- The Southwest Research Institute (SwRI) has released a CAD-based toolkit called SwRI Workbench for Offline Robotics Development (SWORD) to simplify programming robots.
- SWORD embeds computer-aided design (CAD) into robotics motion planning, modeling, and execution, with a graphical interface to simplify coding required in robot operating system (ROS) application development.
- It allows manufacturing engineers to leverage CAD knowledge to unlock more complex capabilities within the ROS codebase.
- SWORD features a graphical toolkit for setting up motion planning environments and collision geometries, adapting ROS for manufacturing and industrial audiences.
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readwrite
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Amazon’s robot workforce more than doubles in three years
- Amazon has significantly increased the number of robots working in its fulfilment centers, with the US tech and e-commerce giant also claiming to be the world’s largest manufacturer of industrial robots.
- Robot numbers have spiked from 350,000 in 2021 to 750,000 by the middle of 2023.
- Amazon deploys various robots including robotic arms, Robin and Sparrow, which assist in scanning and sorting packages for dispatch.
- The company's robots increase productivity, reduce strain on employees, and have led to a decline in incident rates at robotic sites.
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The Robot Report
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Image Credit: The Robot Report
HEBI Robotics releases H-Series actuators
- HEBI Robotics has released its new H-Series platform of smart robotic actuators, designed to provide higher versatility, precision, and torque for custom robots in challenging environments.
- The H-Series actuators have zero backlash and up to 140 Nm continuous torque, running on 24V-48V DC and communicating via standard 100 Mbps Fiber-Optic Ethernet.
- HEBI Robotics has sealed each H-Series actuator to IP65 and offers cross-platform software tools for easy control, including live plotting, mobile device control, and APIs for MATLAB, ROS, C/C++, and Python.
- HEBI Robotics showcased the H-Series actuators at the 2024 Robotics Summit & Expo in Boston, along with its Tready mobile platform.
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The Robot Report
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ASTM proposed standard to help maintain exoskeletons
- ASTM International's exoskeletons and exosuits committee is developing a proposed standard to guide the maintenance of exoskeletons.
- The proposed standard aims to ensure seamless functionality and alignment with design expectations.
- It will address essential prerequisites like power supply verification and contribute to workplace safety and efficiency.
- ASTM welcomes participation in the development of standards for exoskeletons across various sectors.
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Medium
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Why Human Believe Machines Over Humans
- Machines are often believed over humans due to various factors.
- Data-driven decision making is favored for its objectivity and ability to identify trends.
- Machines automation and streamline processes, leading to increased efficiency and productivity.
- In specialized fields like AI and robotics, machines possess expertise that exceeds humans.
- Trust in algorithms is growing as they are integrated into daily life for accurate information.
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The Robot Report
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Intrinsic uses NVIDIA foundation models to improve robotic grasping
- Intrinsic, a software and AI robotics company, collaborates with NVIDIA to enhance autonomous robotic manipulation.
- The collaboration aims to bring dexterity and modular AI capabilities to robotic arms, leveraging foundation models and GPU-accelerated libraries.
- NVIDIA's Isaac Manipulator accelerates path planning by up to 80x, improving robotic grasping efficiency.
- Intrinsic utilizes NVIDIA Isaac Sim to generate synthetic data for vacuum grasping and develops Flowstate, a developer environment for AI-based robotics solutions.
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TechCrunch
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Alphabet-owned Intrinsic incorporates Nvidia tech into robotics platform
- Alphabet-owned Intrinsic is incorporating Nvidia offerings into its Flowstate robotic app platform.
- The collaboration focuses on grasping, a key modality for manufacturing and fulfillment automation.
- Intrinsic aims to develop universal grasping skills that can be used across different settings and objects.
- Intrinsic is also working with DeepMind to improve pose estimation, path planning, and the operation of multiple robots.
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