Industry Briefing

Neura Robotics Announces $1.4B Series C Including Nvidia, Amazon, Tether and Qualcomm

Neura Robotics, a German robotics firm, has successfully completed a Series C funding round, raising up to $1.4 billion. This significant investment aims to facilitate the expansion of the company's cognitive robots and enhance its Physical AI platform. The funding round attracted support from a consortium of prominent technology, industrial, and financial investors, underscoring the growing interest in advanced robotics and AI solutions. The company plans to leverage these funds to accelerate its deployment efforts and further innovate within the robotics sector.

Güdel enhances robotic grinding capabilities with integrated vertical and horizontal movement.

The automation of grinding and surface finishing for large fabricated parts is gaining attention as a solution to the challenges posed by traditional methods, which are often characterized as dull, dirty, and dangerous. However, the implementation of robotic systems in this area presents significant hurdles, including the need for multiple robots and intricate part repositioning. These factors contribute to increased costs and longer cycle times, while also introducing new variations into the manufacturing process. As industries seek to enhance efficiency and safety, the push for automation in grinding applications continues to evolve, highlighting the need for innovative solutions to streamline operations and reduce overhead.

Vbot Delivers First Robot Dog to Horizon Robotics Founder, Marking Consumer Embodied AI Milestone

Vbot, a company specializing in embodied artificial intelligence, has made a significant leap in the robotics industry by delivering its first quadruped robot dog to Dr. Yu Kai, the founder of Horizon Robotics. This milestone marks a pivotal transition from laboratory demonstrations to actual consumer delivery, highlighting the growing accessibility of advanced robotic technology. The delivery took place recently, showcasing Vbot's commitment to bringing innovative AI solutions into everyday life. The introduction of this robot dog not only represents a technological advancement but also reflects the increasing demand for personal robotics among consumers.

Hybrid Operations at Antwerp Terminal

Inform Software and PSA Antwerp have successfully launched the Integrated Terminal Scheduler (ITS) at Europa Terminal, marking a significant milestone in the terminal's modernization efforts. This implementation, which took place in March 2026, aims to enhance operational efficiency by optimizing the management of the entire horizontal transport chain, including Automated Stacking Cranes, Straddle Carriers, and Quay Cranes. The ITS software is designed to support the terminal's full operational capacity, facilitating smoother and more effective logistics operations. This advancement reflects the ongoing commitment to modernizing port operations and improving service delivery in the logistics sector.

ORBBEC Expands Beyond Robot Vision Into Physical AI and 3D Printing

ORBBEC, a leading company in 3D vision perception, is broadening its horizons beyond its traditional focus on robot vision. The firm is strategically venturing into several high-growth sectors, including healthcare, smart retail, and autonomous driving. This expansion comes as part of ORBBEC's initiative to leverage its advanced technology and expertise to meet the increasing demand for innovative solutions in these emerging markets. The company aims to enhance its product offerings and capture new opportunities, positioning itself as a key player in the rapidly evolving landscape of 3D vision applications. As ORBBEC continues to innovate and diversify, it seeks to establish a strong foothold in these sectors, which are expected to see significant growth in the coming years.

RoboMemArena: New Benchmark Systematically Evaluates Robot Memory Capabilities

A consortium of Chinese research institutions has unveiled RoboMemArena, marking the introduction of the first comprehensive benchmark designed to assess robotic memory in long-horizon manipulation tasks. This initiative aims to enhance the capabilities of robots in performing complex tasks that require sustained memory and learning over extended periods. The launch took place recently, with the goal of advancing research and development in robotics, particularly in areas that demand intricate memory functions. By providing a standardized framework for evaluation, RoboMemArena seeks to facilitate comparisons across different robotic systems and foster innovation in the field.

How to Add AI to Your Robot in Minutes

Developers in the robotics industry are facing significant challenges in integrating artificial intelligence into robotic systems, often requiring months to create a deployable solution. However, recent advancements suggest a more efficient approach may be on the horizon. By leveraging innovative methodologies and streamlined processes, developers can potentially reduce the time needed for AI integration, enhancing the speed at which robots can be deployed in various fields. This shift could revolutionize the industry, allowing for quicker responses to market demands and improving the overall functionality of robotic systems. As the technology evolves, the focus remains on finding ways to expedite development without compromising quality or effectiveness.

Horizon Robotics Open-Sources HoloMotion-1: 4B Robot Cerebellum Model Running 300FPS on Device

Horizon Robotics has unveiled its latest innovation, HoloMotion-1, a sophisticated robot cerebellum model featuring 4 billion parameters. This advanced technology enables real-time inference at an impressive rate of 300 frames per second on edge devices, significantly enhancing the control capabilities of whole-body humanoid robots. The launch, which took place recently, represents a substantial advancement in robotics, aiming to improve the functionality and responsiveness of humanoid robots in various applications. By leveraging this cutting-edge model, Horizon Robotics seeks to push the boundaries of robotic intelligence and performance, paving the way for more versatile and efficient robotic systems in the future.

Understanding the Different Robot Arm Types (6-Axis, SCARA, Delta): A Comparison Guide

In the evolving field of automation, selecting the right type of robotic arm is crucial for optimizing production strategies. Different robotic configurations, including 6-axis, SCARA, and Delta robots, offer unique mechanical strengths and capabilities tailored to specific manufacturing tasks. The 6-axis articulated robot, commonly found in factories, mimics human arm movements and excels in complex processes like welding and assembly due to its six degrees of freedom and flexible work envelope. In contrast, SCARA robots, known for their rigidity in the vertical axis and compliance in horizontal movements, are ideal for high-speed tasks such as pick-and-place and electronics assembly, achieving remarkable precision and faster cycle times. Delta robots, characterized by their lightweight, spider-like design, are engineered for high-speed sorting and packaging in industries like food and pharmaceuticals, making them suitable for handling lightweight items quickly. JAKA Robotics has focused on enhancing 6-axis collaborative industrial robots, offering models like the JAKA Zu and Pro series that combine power and agility for various applications, from precision assembly to heavy-duty palletizing. JAKA emphasizes "Embodied Intelligence," ensuring their robots provide precise repeatability and user-friendly operation through wireless control and intuitive programming, catering to the needs of modern smart factories.

Shengshu Technology Launches Motubrain World-Action Model

Shengshu Technology has achieved a significant milestone with its Motubrain model, which has secured the top position on both the WorldArena and RoboTwin 2.0 benchmarks. This accomplishment highlights the model's innovative unified world-action approach, allowing humanoid robots to effectively execute long-horizon tasks across various embodiments. The recognition from these prestigious benchmarks underscores the advancements in robotics technology and the potential for enhanced performance in diverse applications.

Gradient-based planning for world models at longer horizons

A team of researchers, including Mike Rabbat, Aditi Krishnapriyan, Yann LeCun, and Amir Bar, has introduced GRASP, a new gradient-based planning method designed for learned dynamics in world models. This innovative approach addresses the challenges of long-horizon planning, which has proven to be fragile and inefficient with existing models. GRASP enhances planning by lifting trajectories into virtual states, allowing for parallel optimization across time, and incorporating stochastic elements to facilitate exploration. The development of GRASP comes in response to the limitations of current world models, which, despite their ability to predict complex sequences in high-dimensional spaces, struggle with optimization and can easily fall into local minima. The researchers emphasize that while powerful predictive models exist, effective control and planning remain significant hurdles. By utilizing a collocation-based approach, GRASP optimizes both actions and states, improving computational efficiency and robustness against adversarial vulnerabilities inherent in state gradients. The method also introduces exploration through Gaussian noise in state updates, enhancing the ability to navigate complex planning landscapes. Preliminary results indicate that GRASP significantly outperforms traditional methods in success rates and time efficiency for long-horizon planning tasks. The researchers view GRASP as a foundational step towards more advanced world model planners, with future work aimed at integrating the method into reinforcement learning systems and exploring diffusion-based world models. The full details of the study can be found in their published paper.

RobCo, a leading technology firm, is set to broaden its horizons in the field of industrial robotics following a recent round of funding. The company plans to develop a new class of robots specifically engineered to function effectively in unpredictable, real-world environments. This strategic expansion aims to enhance operational efficiency across various industries, addressing the growing demand for adaptable automation solutions. The initiative is part of RobCo's commitment to innovation and its response to market needs, as businesses increasingly seek advanced robotic systems capable of navigating complex tasks. The rollout of these new robotics is expected to begin in early 2024, positioning RobCo at the forefront of the industrial automation sector.

NPPL+R tests 10 innovations in precision farming and robotics

As spring approaches, participants and advisors in the NPPL+R projects are intensifying their efforts in precision farming and robotics. This practical program aims to enhance agricultural practices at the grower level by testing a variety of innovative techniques, including sowing, crop care, and harvesting. The initiative seeks to improve efficiency and productivity in farming, responding to the increasing demand for sustainable agricultural solutions. With the growing season on the horizon, stakeholders are preparing to implement these advancements, which are expected to play a crucial role in modernizing farming practices.

What Are the 5 Types of Industrial Robots?

JAKA, an industrial robot company, is at the forefront of automation technology, focusing on five primary types of robots that cater to various production needs. These include articulated robots, known for their flexibility and complex movements, which are essential for tasks like welding and assembly. The compact design of JAKA's Zu series exemplifies this versatility, allowing operation in confined spaces. Additionally, the SCARA robot specializes in high-speed, precise motions within a horizontal plane, making it ideal for electronics manufacturing. JAKA emphasizes engineering principles that ensure repeatability and stability in all its robotic models. The delta robot, characterized by its parallel-linked arms, excels in ultra-high-speed picking and packaging, particularly in the food and pharmaceutical industries. JAKA is committed to delivering reliable automation solutions that meet rigorous production standards. The Cartesian robot, or gantry robot, operates on three linear axes, making it suitable for applications such as 3D printing and precise dispensing. Its intuitive programming aligns with JAKA's mission to make automation accessible. Lastly, collaborative robots, or cobots, represent a significant shift towards human-centric automation, designed to work safely alongside human workers. JAKA focuses on developing accessible cobots equipped with user-friendly programming and safety features. Overall, JAKA aims to provide a diverse range of robotic solutions that enhance flexibility, efficiency, and collaboration in modern manufacturing environments.

Pick and Place Robotic Arm Design: Comparing SCARA vs. 6-Axis for Speed

In the ongoing debate over robotic efficiency in assembly and packaging lines, JAKA highlights the critical factors influencing speed in pick and place applications. The comparison between SCARA and 6-axis robotic arms reveals that speed is not solely defined by peak velocity but is also affected by travel distance, directional changes, and the complexity of movement paths. SCARA robots excel in tasks requiring rapid, point-to-point movements within a single horizontal plane, making them ideal for high-frequency transfers, such as moving components from a conveyor to a fixture. However, their performance can decline when tasks involve vertical or complex movements. Conversely, 6-axis robotic arms, with their articulated joints, offer enhanced flexibility for navigating intricate three-dimensional paths. This capability allows them to perform complex maneuvers—such as retrieving parts from tilted trays and placing them at various angles—more efficiently than SCARA models, despite potentially slower joint speeds. Moreover, the workspace coverage plays a significant role in overall system throughput. SCARA robots typically operate within a cylindrical workspace, which may necessitate multiple units for larger areas. In contrast, 6-axis robots can cover broader volumes from a single mount point, reducing the need for additional robots or complex transfer systems and ultimately improving operational speed by minimizing idle time. In conclusion, the choice between SCARA and 6-axis robotic arms should be guided by the specific requirements of the task, as each design offers distinct advantages in speed and efficiency based on the nature of the application.

Physics-informed neural controlled differential equations for long horizon multi-agent motion forecasting

Researchers are tackling the complexities of long-horizon motion forecasting for multiple autonomous robots, a task made difficult by non-linear interactions among agents and the accumulation of prediction errors over time. This initiative, which aims to enhance trajectory forecasting, is particularly relevant for applications such as travel time prediction, prediction-guided planning, and surrogate simulation. By developing efficient forecasting methods, the team seeks to improve the reliability and accuracy of autonomous systems in dynamic environments. The work is ongoing, with implications for various fields that rely on advanced robotics and automation.

Kyber Labs Founders Crash the "Over the Horizon" Podcast for a Technical Deep Dive

The founders of Kyber Labs, Scott Walter and Gustav Andersson, recently made a surprise appearance on Royden D’Souza’s podcast, where they engaged in an in-depth discussion about their innovative approaches to tendon actuation and heat management. The podcast, which gained significant attention following the viral reveal of Kyber Labs' latest technologies, provided a platform for the founders to elaborate on their unique "anti-humanoid" strategy. This strategy aims to differentiate their products in a competitive market by focusing on functionality and efficiency rather than mimicking human form. The conversation highlighted the challenges and breakthroughs in their research and development process, offering insights into the future of robotics and artificial intelligence.

Physical AI Fuels the Machines of Tomorrow

As the AI Horizons Summit approaches, Martial Hebert, the dean of the School of Computer Science, has offered insights into the emerging field of physical AI. Hebert, who is set to speak at the conference, emphasizes the significance of integrating physical capabilities into artificial intelligence systems. This integration is expected to enhance the functionality and effectiveness of machines, paving the way for advancements in various industries. The summit, which gathers experts and innovators in the field, aims to explore the future of AI technologies and their applications. Hebert's perspective highlights the potential of physical AI to revolutionize how machines interact with the world, ultimately driving innovation and progress in technology.

Chinese companies rush to get in on the robotaxi craze, bet on gen AI tools

Horizon Robotics and Deeproute are collaborating to advance the development of autonomous driving technologies, leveraging emerging artificial intelligence innovations. The partnership aims to facilitate a gradual transition from current assisted driving systems to fully autonomous vehicles. This initiative reflects the companies' commitment to enhancing road safety and improving transportation efficiency. By harnessing AI capabilities, they plan to refine their technologies and methodologies, ultimately paving the way for a future where self-driving cars are a common reality. The collaboration is part of a broader trend in the automotive industry, where companies are increasingly investing in AI to revolutionize driving experiences.

XTransfer Surpasses 700,000 Global Clients, Nearly Half from Overseas Enterprises

XTransfer, a prominent B2B cross-border trade finance platform in China, marked a significant step in its global expansion at the Future Trade Conference 2025 held in Guangzhou. The event, which attracted over 3,500 industry professionals, including more than 300 international traders, focused on the theme “Connecting Global Trade with Local Accounts: Unlocking New Horizons.” During the conference, Bill Deng, the Founder and CEO of XTransfer, emphasized the importance of developing innovative solutions to facilitate international trade and enhance financial connectivity. This initiative aims to support businesses in navigating the complexities of global commerce, thereby fostering growth and collaboration in the international marketplace.

China’s Horizon Robotics offers assisted driving software to Chery

Chinese automaker Chery has announced that its upcoming flagship model will incorporate advanced automated driving assistance features utilizing Horizon Robotics’ “Horizon SuperDrive” (HSD) system. This collaboration was revealed on April 18 during an event in Shanghai, with plans for mass production set to begin in September. The HSD system is powered by Horizon’s Journey 6 processing hardware and employs a deep learning model akin to that used by Tesla, aiming to enhance the driving experience through cutting-edge technology.

China’s Horizon Robotics envisions offering truly hands-off driving in three years

Horizon, a key partner of Volkswagen and BYD in China, announced on Monday that it will begin mass delivery of its Advanced Driver Assistance Systems (ADAS) in the third quarter of this year. This development marks a significant step in the collaboration between Horizon and the automotive giants, as they aim to enhance vehicle safety and automation in the rapidly evolving electric vehicle market. The introduction of ADAS is expected to meet the growing demand for advanced technology in vehicles, driven by increasing consumer interest in safety features and autonomous driving capabilities. The partnership underscores the commitment of both Volkswagen and BYD to innovate and lead in the competitive landscape of the automotive industry in China.

CMU Researchers Illuminate New Horizons in Low-Light Robotic Exploration

Researchers at Carnegie Mellon University have developed a groundbreaking framework that enables robots to create photorealistic representations of scenes in low-light environments. This advancement is significant as robots are increasingly utilized for various tasks, including lifting heavy loads in warehouses, delivering meals to diners, and performing household chores. Despite their growing presence, much of the work done by robots remains unseen, particularly in challenging lighting conditions. The new framework enhances the capabilities of robots and autonomous vehicles, allowing them to effectively conduct critical tasks such as exploration, inspection, and transportation in environments where visibility is limited. This innovation opens up new possibilities for robotic applications, particularly in areas that require reliable performance in low-light scenarios.