Articles tagged with "edge-AI"
World’s smallest humanoid robot designed to learn, evolve with users
Chinese robotics company PrimeBot, a subsidiary of AgiBot, has launched the Prime series—world’s smallest humanoid robots designed for personal ownership and long-term interaction. The two models introduced, Prime Q1 and Prime T1, emphasize adaptability, emotional responsiveness, and co-creation with users rather than fixed industrial tasks. Prime Q1 is a compact, force-controlled full-body humanoid robot aimed at developers and educators, featuring modular components and customizable shells to evolve its form and personality. Prime T1 is a consumer-grade transformable robot that can switch between a wheeled humanoid and a bionic quadruped, designed for versatile indoor and outdoor navigation. PrimeBot’s approach diverges from traditional humanoid robots by focusing on embodied intelligence—robots that learn and adapt through physical interaction and ongoing user engagement. Built on an open platform, the Prime robots invite collaborative development in aesthetics, interaction, and functionality, making robotics ownership an active, creative process. This launch coincides with technological advances in
robothumanoid-robotpersonal-roboticsAIrobotics-platformadaptive-systemsedge-AIRivian is building its own AI assistant
Rivian has been developing its own AI assistant for nearly two years, aiming to integrate it deeply with vehicle controls rather than offering a simple chatbot. The company’s software chief, Wassym Bensaid, indicated a potential consumer launch by the end of 2024, with more details expected at Rivian’s December 11 event. The AI assistant is designed with a model- and platform-agnostic architecture, employing an agentic framework that coordinates multiple AI models through an in-vehicle orchestration layer. This hybrid system balances edge AI (processing on the device) and cloud AI (using remote servers), enabling flexible and efficient task handling. This AI initiative aligns with Rivian’s broader strategy to increase vertical integration, as the company is also redesigning key vehicle components and developing much of its software stack in-house, including real-time operating systems for safety and infotainment. While Rivian’s AI assistant remains an internal project, separate from its multi-billion dollar technology joint venture with Volkswagen, the
robotAI-assistantautomotive-technologyedge-AIcloud-AIsoftware-integrationvehicle-controls6 trends shaping robotics and AI - The Robot Report
The article from The Robot Report, based on a survey conducted by MassRobotics with support from Lattice Semiconductor, identifies six key trends shaping the robotics and AI industries. Among the most notable is the widespread use of sensor fusion, particularly the combination of LiDAR and cameras, which 75.7% of respondents found most effective for object detection. However, challenges such as high costs, integration complexity, and maintenance needs remain significant barriers, underscoring the industry's demand for more streamlined and affordable multi-sensor solutions. Another major trend is the growing adoption of Edge AI, with half of the surveyed professionals already implementing AI at the sensor level to reduce latency and improve real-time performance. This shift drives demand for low-power AI hardware capable of on-device inference. Motor control also remains critical, with emphasis on real-time responsiveness and power efficiency, highlighting the need for advanced control systems that minimize latency and optimize energy use. Power consumption continues to be a persistent challenge, with moderate satisfaction reported and a strong market
roboticsartificial-intelligencesensor-fusionedge-AImotor-controlmachine-learningautonomous-systemsAdvantech, Qualcomm partner on edge AI applications
Advantech has announced a collaboration with Qualcomm Technologies and its subsidiary Edge Impulse to accelerate the adoption of next-generation edge AI applications using Qualcomm’s Dragonwing IQ-9075 processor. This partnership integrates Advantech’s edge AI platforms with the Dragonwing IQ-9075 and Edge Impulse’s developer tools, creating an ecosystem that simplifies AI development and deployment at the edge. The Dragonwing IQ-9075 processor, which powers Advantech’s new AIR-055 and AFE-A503 systems, delivers up to 100 TOPS of AI performance through dual Hexagon NPUs and an 8-core Kryo Gen 6 CPU, and is designed for industrial reliability with over 10 years of product longevity. Advantech’s AIR-055 system is a compact edge AI platform supporting VLMs and LLMs, featuring multiple connectivity options and direct MIPI-CSI camera connections for 2D/3D industrial imaging, targeting applications such as smart manufacturing, intelligent transportation systems
IoTedge-AIQualcommroboticsindustrial-automationembedded-systemssmart-manufacturingAdvantech introduces edge AI systems for a range of robot embodiments - The Robot Report
Advantech has launched a new lineup of Edge AI systems powered by NVIDIA’s Jetson Thor platform, targeting real-world robotics, medical AI, and data AI applications. These systems integrate application-specific hardware with pre-installed JetPack 7.0, remote management tools, and vertical software suites like Robotic Suite and GenAI Studio. Built on a container-based architecture, they offer enhanced flexibility and faster development cycles. The NVIDIA Jetson Thor modules deliver up to 2070 FP4 TFLOPS of AI performance, alongside improved CPU performance and energy efficiency. Advantech also collaborates with ecosystem partners on sensor and camera integration and thermal design to facilitate faster and more efficient edge AI application deployment. Advantech’s robotic controllers, ASR-A702 and AFE-A702, are designed for humanoids, autonomous mobile robots (AMRs), and unmanned vehicles, providing real-time AI inference with GPU-accelerated SLAM and support for multi-camera and sensor inputs. These controllers feature hardware
robotedge-AINVIDIA-Jetsonrobotic-controllersIoTAI-in-roboticsedge-computingYUAN Unveils Next-Gen AI Robotics Powered by NVIDIA for Land, Sea & Air - The Robot Report
YUAN, a leader in Industrial Video PCs, has introduced its next-generation AI robotics platforms—Pandora NX Super and AIR NX Super—powered by NVIDIA Jetson Orin technology. These platforms are designed for versatile applications across land, sea, and air, enabling advanced real-time video analytics and autonomous decision-making. Key sectors benefiting from these innovations include maritime safety, agriculture, and aerial inspections, where the integration of NVIDIA’s AI and sensor fusion technologies enhances operational efficiency and situational awareness. In maritime safety, YUAN’s Smart Sea Patrol system utilizes NVIDIA Jetson AGX Orin and Isaac ROS for multi-sensor fusion, delivering 360-degree monitoring and real-time threat detection. This system supports coast guard operations, offshore platform monitoring, and autonomous vessel navigation by identifying hazards, unauthorized vessels, and environmental threats such as oil spills and illegal fishing. In agriculture, YUAN’s Smart Farming solutions employ AI-driven drones and ground robots equipped with multispectral imaging, LiDAR, and GNSS
roboticsAI-roboticsNVIDIA-Jetsonautonomous-systemssmart-farmingmaritime-safetyedge-AIe-con Systems adds camera, compute solutions for NVIDIA Jetson Thor
e-con Systems has announced comprehensive support for NVIDIA’s newly launched Jetson Thor modules, which deliver up to 2070 FP4 TFLOPS of AI compute power aimed at next-generation robotics and AI-enabled machines. Their support spans a broad portfolio of vision products, including USB Series cameras, RouteCAM GigE Ethernet cameras with ONVIF compliance, 10G Holoscan Camera solutions, and a compact ECU platform designed for real-time edge AI applications. These solutions leverage multi-sensor fusion, ultra-low latency, and resolutions up to 20 MP, enabling accelerated development of advanced AI vision applications. A key highlight is e-con’s 10G e-con HSB solution that uses Camera Over Ethernet (CoE) protocol with a custom FPGA-based TintE ISP board, allowing direct data transfer to GPU memory with minimal CPU usage. This setup supports various high-quality sensors such as Sony IMX715 and onsemi AR0234, facilitating real-time operation and quicker response times. Additionally, e
robotAIembedded-visionNVIDIA-Jetson-Thorcamera-solutionsedge-AIsensor-fusionMalaysia’s SkyeChip unveils the country’s first edge AI processor
Malaysia has introduced its first domestically developed edge AI processor, the MARS1000, created by the local chip design firm SkyeChip. The announcement was made at an industry event, marking a significant milestone in Malaysia’s growing involvement in artificial intelligence technology. This development aligns with the country's broader strategic push to enhance AI capabilities, supported by the establishment of a dedicated agency in late 2024 focused on accelerating AI adoption, creating regulatory frameworks, and addressing AI ethics. In addition to technological advancements, Malaysia is also tightening controls on AI chip exports. Following rumors that the U.S. government considered restricting AI chip exports to Malaysia and Thailand to curb smuggling to China, Malaysia’s Ministry of Investment, Trade and Industry implemented a new regulation on July 14. This rule mandates that individuals and companies notify the Malaysian government at least 30 days before exporting or transshipping U.S.-made AI chips, reflecting the country’s increasing regulatory oversight in the AI sector.
IoTedge-AIAI-processorchip-designMalaysia-technologysemiconductorartificial-intelligenceNVIDIA Jetson Thor computer gives humanoid robots 7.5x power boost
NVIDIA has launched the Jetson AGX Thor developer kit and production modules, delivering a significant leap in AI computing power for robotics applications. The Jetson Thor offers up to 2,070 FP4 teraflops of AI compute and 128 GB of memory within a 130-watt power envelope, providing 7.5 times more AI performance and 3.5 times greater energy efficiency than its predecessor, Jetson Orin. Powered by NVIDIA’s Blackwell GPU, the system can run multiple AI models simultaneously, including vision-language-action models and large language models, enabling robots to perceive, reason, and act in real time without relying on cloud servers. This makes it suitable for a wide range of applications, from humanoid robots and industrial machines to surgical assistants and precision farming. The Jetson Thor platform is supported by NVIDIA’s comprehensive software stack, including Isaac for robotics simulation, Metropolis for vision AI, and Holoscan for sensor processing. Early adopters such as Amazon
robotAI-computinghumanoid-robotsNVIDIA-Jetson-Thorindustrial-robotsedge-AIrobotics-developmentPhysical AI takes center stage at RoboBusiness
RoboBusiness, held October 15-16 in Santa Clara, California, will debut the Physical AI Forum, focusing on the emerging field of physical AI in robotics. The forum will cover critical topics such as safety, simulation-to-reality reinforcement training, data curation, and deploying AI-powered robots. As the premier event for commercial robotics developers and suppliers, RoboBusiness features over 60 speakers, a startup workshop, the Pitchfire competition, and a surgical robotics track, alongside more than 100 exhibitors showcasing the latest robotics technologies. Key presentations at the Physical AI Forum include NVIDIA’s VP Deepu Talla discussing the transformative impact of generative AI on robotics, emphasizing simulation-first development and real-time edge deployment to enable adaptable, intelligent autonomy in unstructured environments. Dexterity’s founding engineer Robert Sun will present on their Physical AI platform that integrates multimodal AI with industrial robots to enhance warehouse automation through real-time adaptation and safety. ABB’s Thomas-Tianwei Wang will highlight AI integration across ABB’s
robotphysical-AIroboticsAI-powered-robotswarehouse-robotssimulation-to-realityedge-AINVIDIA Jetson Thor bring 2K teraflops of AI compute to robots
NVIDIA has announced the general availability of its Jetson AGX Thor developer kit and production modules, designed to deliver 2K teraflops of AI compute power for robotics and physical AI applications. Targeting robots that operate in unstructured environments and interact safely with humans, Jetson Thor offers high performance and energy efficiency, enabling the running of multiple generative AI models at the edge. NVIDIA positions Thor as a supercomputer for advancing physical AI and general robotics, with several leading robotics and industrial technology companies already integrating the platform. Notably, Agility Robotics plans to use Jetson Thor as the compute backbone for its Digit humanoid robot, enabling more advanced manipulation, scene understanding, and faster reaction times in complex tasks like logistics and shelf stocking. Boston Dynamics is also incorporating Thor into its Atlas humanoid robot for onboard AI acceleration and data handling. Other major users include Amazon Robotics, Caterpillar, Figure, Medtronic, and Meta, with John Deere and OpenAI currently evaluating the platform
robotAINVIDIA-Jetson-Thorrobotics-computingedge-AIhumanoid-robotsautonomous-systemsNVIDIA VP Deepu Talla to discuss physical AI at RoboBusiness - The Robot Report
At RoboBusiness 2025, Deepu Talla, NVIDIA’s vice president of robotics and edge AI, will deliver the opening keynote titled “Physical AI for the New Era of Robotics.” Scheduled for October 15 in Santa Clara, California, Talla will discuss how physical AI—where models perceive, reason, and act in real-world environments—is transforming robotics from static, rule-based automation to adaptable, intelligent autonomy capable of managing complex, unstructured tasks. NVIDIA is accelerating this shift through simulation-first development, foundation models, and real-time edge deployment, training robots in virtual environments before scaling them into physical applications. This advancement marks a significant milestone in integrating intelligent machines into the $50 trillion global economy. NVIDIA has positioned itself as a leader in physical AI with recent innovations such as Isaac GR00T N1.5, an updated customizable foundation model for humanoid robot reasoning, and Isaac GR00T-Dreams, a synthetic motion data generation blueprint. The NVIDIA Isaac platform is widely adopted
roboticsphysical-AINVIDIA-Isaachumanoid-robotsedge-AIautonomous-machinesrobotics-developmentRoboBusiness announces 2025 agenda
RoboBusiness 2025, scheduled for October 15-16 at the Santa Clara Convention Center, has unveiled its comprehensive conference agenda. Established in 2004, RoboBusiness is a leading event for commercial robotics developers and suppliers, produced by WTWH Media. The event will feature over 60 speakers, a startup workshop, a robotics startup competition, networking receptions, and more than 100 exhibitors showcasing cutting-edge robotics technologies and solutions. The conference will include six tracks, with new additions in physical AI and humanoids, an expanded field robotics track, and sessions on business development, enabling technologies, and design best practices. Notable companies participating include ABB, Amazon Robotics, NVIDIA, and Intuitive Surgical. Keynote presentations will highlight significant industry trends and innovations. NVIDIA’s Deepu Talla will open with a talk on “Physical AI,” emphasizing the integration of generative AI into robotics to enable adaptable, intelligent autonomy beyond traditional automation. Another session will focus on early commercial deployments of humanoid robots
roboticsAIhumanoid-robotsphysical-AIrobotics-conferenceedge-AIautomationAfter Intel exit, RealSense maps its own future in 3D vision
RealSense, a company specializing in 3D depth cameras for robotics, has officially spun out from Intel Corp. as an independent entity, backed by $50 million in funding from Intel Capital and MediaTek Innovation Fund. This move follows a period of uncertainty after Intel initially announced winding down RealSense in 2021 but later reversed course. The new RealSense company has 130 employees, mostly former Intel staff who received stock options to incentivize retention and attract talent. CEO Nadav Orbach, a long-time Intel veteran, positions RealSense as a nimble startup focused on providing advanced vision tools that enable robots to better understand and navigate their environments. RealSense’s technology is already embedded in thousands of robots, including autonomous mobile robots (AMRs), robot arms, and humanoids, with a customer base exceeding 3,000 and partnerships covering 60% of AMR and humanoid developers. The company is intensifying its focus on software, particularly in visual SLAM for navigation and
robotics3D-visiondepth-camerasautonomous-mobile-robotsvisual-SLAMedge-AIRealSenseReservoir Farms opens applications for inaugural cohort - The Robot Report
Reservoir Farms, an agricultural technology incubator located in California’s Salinas Valley, has opened applications for its inaugural cohort of 12 startups. The incubator aims to accelerate innovation in specialty crop production by connecting AgTech startups with growers, leveraging the expertise and network of the Western Growers Association’s 2,500 members. Supported by the Western Growers Association and established through a long-term lease with the Tanimura family and Tanimura & Antle, Reservoir Farms offers office and shop space, secure storage, and year-round test fields near some of the world’s most productive farmland in Salinas. The incubator provides startups with access to a fully equipped maker space featuring machine tools, welders, CNC routers, and 3D printers to facilitate rapid prototyping and in-field testing of robotic solutions. Focus areas include robotic harvesting, rugged mobility, machine vision, lightweight end effectors, modular field robotics, edge AI, and precision soil analytics. Reservoir Farms emphasizes a collaborative approach,
robotagroboticsagriculture-technologyprecision-farmingmachine-visionedge-AIrobotic-harvesting