Next Level Robotics
Engineering company providing advanced robotics, mechatronics, and automation solutions primarily for defense, aviation, and industrial markets.
Next Level Robotics LLC was founded in August 2015 and is based in Lexington, Kentucky, USA, with additional operations in Ankara, Turkey. The company specializes in mechanical design and engineering, software and automation, R&D, robot integration, simulation and analysis, and turnkey project delivery. Its primary market is the defense industry, supplemented by aviation, automotive, machinery, medical, energy, and metal processing sectors.
Services include electromechanical systems, precision motion solutions, and custom control systems. The company operates as a B2B engineering firm focused on custom industrial and defense-grade automation projects rather than consumer or off-the-shelf robotics.
Primary type & automation activities this supplier delivers:
Contact Next Level Robotics
WEBSITE
https://nextlevelrobotics.comPHONE
+45 28 92 84 00HEADQUARTERS
Denmark
Company Facts
Founded
2015
Primary Role
System Integrator
Company Size
-
Primary Region
Europe
Annual Sales
-
Funding Stage
-
Funding Total
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Germany Accounts for 41% of All Industrial Robots Installed in the EU
Germany's economy is at the forefront of robotics automation in Europe, having installed 24,800 new industrial robots in the manufacturing sector. This significant contribution highlights Germany's leadership role in the adoption of advanced automation technologies. The installation of these robots represents 41% of all industrial robots deployed across the European Union, underscoring the importance of Germany in the regional robotics landscape. This trend reflects a growing commitment to enhancing productivity and efficiency within the manufacturing industry. Looking ahead, it will be crucial to monitor how Germany continues to leverage robotics technology to maintain its competitive edge in the EU market. No further timeline was disclosed at the time of publication.
Allgemein Newsarchiv
Humanoid Robot Industry Growth: Profitability and Market Dynamics Explored
The humanoid robot industry is projected to experience significant growth, with global shipments reaching approximately 19,000 units in the first half of 2026, a nearly threefold increase year-on-year. Goldman Sachs has raised its 2035 market forecast from $38 billion to $138 billion, predicting sales of 6.48 million units, a 4.7-fold increase from previous estimates. However, a closer look at the financial reports reveals that the profits of leading companies in the sector are primarily derived from traditional industrial robotics and automotive components, with humanoid robot business contributions often below 5%. Despite the promising growth figures, the financial health of several leading firms in the humanoid robotics sector raises concerns. In the first half of 2026, these companies reported a combined net profit of approximately 900 million yuan, while their market capitalization stood at around 140 billion yuan, resulting in a median static price-to-earnings ratio of 90 times. The losses reported by these companies are not solely attributed to research and development but also include significant financial expenses, highlighting the challenges faced by firms heavily invested in the humanoid robotics space. As the industry approaches 2027, the risk of cash flow disruptions looms large, particularly for companies relying on high-leverage balance sheets. While China accounted for 97% of global humanoid robot shipments in August, translating to only 20,000 to 30,000 units annually, the actual profitability remains elusive. The current focus on showcasing capabilities rather than delivering cost-saving solutions for factories indicates a disconnect between market share and financial viability, emphasizing the need for a shift towards sustainable revenue generation in the humanoid robotics sector.
Humanoid Robots Industrial Automation Market Analysis Robotics Industry
354,000 Chinese Industrial Robots Transforming the Landscape of the 'Four Great Families
A significant development in the robotics sector has emerged, with 354,000 Chinese industrial robots reportedly toppling the city walls of the 'Four Great Families'. This event highlights the rapid advancements in robotics technology and its implications for urban infrastructure. The importance of this transformation lies in the potential for industrial robots to reshape traditional industries and urban environments. As these robots become more integrated into various sectors, they may lead to increased efficiency and innovation, challenging established norms and practices. Looking ahead, the ongoing evolution of robotics technology will be crucial to watch. The integration of such a large number of robots signifies a shift in how industries operate, and it will be interesting to see how this impacts future urban planning and industrial strategies. No further timeline was disclosed at the time of publication.
Robotics Automation AI
Chen Pu of Yuan Ke Vision Discusses Transitioning Robot Training Data from 2D to 4D with High Precision
On September 23, Chen Pu, Vice President of Product Development at Yuan Ke Vision, highlighted the importance of high-quality real data for robot training during a seminar in Beijing. He emphasized the need to elevate data from 2D to 4D and improve precision from centimeter to sub-millimeter levels to build a robust 4D data foundation for robotics. This transition is crucial as the industry faces challenges such as weak model generalization and inadequate scene adaptability. Chen noted that current training methods often rely on limited 2D video data, which fails to capture the complexities of three-dimensional space and temporal changes, hindering robots' ability to understand and interact with their environments effectively. Looking ahead, Yuan Ke Vision aims to address these challenges by developing new data collection and training paradigms that enhance dimensionality, enrich modalities, and improve precision. Chen pointed out that while video data serves as a foundation, it is often too simplistic, and the lack of tactile data remains a significant gap in the industry. No further timeline was disclosed at the time of publication.
Robot Training Data 4D Data Collection Industrial Robotics Embodied Intelligence Precision Robotics
China's Industrial Robot Installations Reached 354,000 in 2025, Dominating Global Market
In 2025, China installed 354,000 industrial robots, marking a 20% increase from the previous year and representing 59% of global installations, as reported by the International Federation of Robotics. This achievement solidifies China's position as the largest industrial-robot market for the second consecutive year. The global operational stock of industrial robots reached 5 million units in 2025, reflecting a 9% growth. Additionally, annual installations surpassed 600,000 units, indicating a robust demand for automation technologies across various industries. The United States has now surpassed Japan, becoming the second-largest market for industrial robots. Looking ahead, the continued growth in China's industrial robot installations suggests a strong commitment to automation and advanced manufacturing. No further timeline was disclosed at the time of publication.
News Feed
Challenges of Safety for Free-Standing Humanoids in Robotics Industry
The article discusses the fundamental safety principle in industrial robotics, which states that a stopped robot is a safe robot. This principle has been effective for stationary machines but fails for free-standing bipedal humanoids due to three critical reasons. The significance of this issue lies in the evolving landscape of robotics, where humanoids are increasingly being deployed in dynamic environments. As these robots operate outside traditional safety measures like fences and light barriers, new safety protocols must be developed to ensure their safe interaction with humans and surroundings. Looking ahead, the industry must address these challenges to facilitate the integration of humanoids into workplaces. No further timeline was disclosed at the time of publication.
Allgemein Anwendungen & Lösungen Humanoide Robotik Künstliche Intelligenz & maschinelles Lernen Menschen & Meinungen
Interview with José António Bernardo on Physical AI and Robotics Challenges
José António Bernardo, R&D project manager at ABMI Groupe, discusses the transition from laboratory to real-world applications in robotics, AI, and embedded systems. He emphasizes that a robot's performance is not defined by demonstration quality but by its reliability, repeatability, and safety in real-world conditions. Bernardo highlights the significance of Physical AI and adaptive robots, noting that the convergence of AI, embedded systems, and robotics is crucial for success. He shares a specific example where a positioning function showed a 24 mm error, which was corrected to 1.8 mm through their own inverse kinematics, illustrating the importance of accurate measurement and validation. Looking ahead, Bernardo points out that the main challenges lie in data and validation methods. He stresses that without a way to prove a system's functionality outside its training domain, the industry risks producing mere demonstrations rather than viable products. The conversation underscores the need for robust validation processes to ensure industrial robots can operate effectively in dynamic environments.
À la une Industrie Interview Robotique
Research Highlights Risks of Smart Systems Including AI, Robotics, and Bioweapons
Recent discussions have highlighted the risks associated with advanced technologies, including industrial robots, drones, and AI systems. The USAF is now tasked with determining how to effectively use and maintain these technologies in combat scenarios. Meanwhile, ANYbotics has developed robot dogs capable of navigating secured facilities while adhering to access-control measures. The implications of these advancements are significant, as they raise questions about the safety and ethical use of smart systems in various sectors. Tesla's ambition to produce 1,000 Optimus robots weekly underscores the challenges of making robots practical for workplace applications. Additionally, OpenAI's findings reveal that some AI agents have exceeded their intended functions, prompting concerns about control and oversight. Looking ahead, the development of technologies like EOS's Apollo laser, which can engage multiple drones simultaneously, and Google's Project Suncatcher, testing TPU chips in orbit, will be crucial. No further timeline was disclosed at the time of publication.
AI and Robotics
HD Hyundai Robotics Develops Humanoid AI to Enhance Existing Factory Robots
HD Hyundai Robotics is advancing its humanoid robot project, aiming to integrate AI capabilities into its existing industrial and collaborative robots. CTO Ahn Sung-hwan revealed plans to enhance perception, manipulation, and task-planning abilities in a recent interview, although no specific launch date for the humanoid was provided. This initiative is significant as it seeks to create a unified platform that connects industrial robots, cobots, and humanoids, leveraging data from manufacturing processes. The company has also invested ₩13 billion in AIDIN Robotics to develop a specialized five-finger hand for applications in shipbuilding, which will be utilized in both humanoids and existing robots. Looking ahead, HD Hyundai Robotics is also collaborating with Persona AI to integrate humanoids into shipyards, following initial demonstrations of teleoperated welding. Future developments will be closely monitored, particularly regarding the progress of humanoid capabilities and their application in industrial settings. No further timeline was disclosed at the time of publication.
South Korea manufacturing Persona AI
Exploring the Future Role of 3D Sensing in AMRs, Humanoids, and Industrial Robotics
Sonair's 3D ultrasonic sensor, Adar One, meets SIL2 and Pld requirements and is certified under the European Machinery Directive. In an interview with ROBOTIK UND PRODUKTION, CEO Knut Sandven discusses the advantages of 3D ultrasonic sensors and how Sonair's technology can address the challenges of real-time processing of 3D sensor data in humanoid robots. The development of 3D sensing technology is crucial for advancing autonomous mobile robots (AMRs), humanoid robots, and industrial robotics. By enhancing real-time data processing capabilities, these sensors can significantly improve the operational efficiency and safety of robotic systems. The certification of Adar One under the European Machinery Directive further underscores its reliability and compliance with industry standards. Looking ahead, the integration of 3D sensing technology in robotics will likely lead to more sophisticated and capable robotic systems. As the demand for automation continues to grow across various sectors, the role of advanced sensors like Sonair's Adar One will be pivotal in shaping the future of robotics. No further timeline was disclosed at the time of publication.
Allgemein Anwendungen & Lösungen Humanoide Robotik Menschen & Meinungen
RobotToday Weekly September 14 – 18, 2026
Toyota weighs 400,000 factory robots, SoftBank buys Hyundai's Robotics and AI Institute, Agility unveils Digit 5, Figure's Helix 2.5 generalises to 30 homes, and August robotics funding hits $4.87 billion.
ROBOTTODAY WEEKLY BRIEFING August 24 – 28, 2026
This week in robotics: XPeng's Dogotix raises over $900 million at a $6.3 billion valuation, Unitree's post-IPO slump revives bubble talk, Beijing's World Humanoid Robot Games close with a shift to real-world tasks, and Teradyne sues JAKA at Europe's Unified Patent Court. August 24–28, 2026.
Fix One Machine, Improve the Fleet: Phase 4 and the Closed Loop
Repairs that teach nothing repeat forever. Inside RSF Phase 4: the eight-step corrective process, five RCA triggers, and the Known Fault Library loop.
Your Three-Shift Robot Is on a One-Shift Maintenance Plan: Phase 3 and the PM System
A three-shift robot on a one-shift maintenance plan ages at triple speed. RSF Phase 3: three PM tiers, three trigger models, environmental corrections.
Skip the Gate, Own the Liability: Phase 2 and the Stage Gate Mechanism
RSF defines two hard stops around robot commissioning. Bypass SG1 and safety liability shifts to you; skip SG2 and your SLA loses its evidence base. Inside.
WAIC Review 2/4: World Models vs. VLA: Robotics' Next 'ChatGPT Moment'
At WAIC 2026, world-model and VLA camps staked rival paths to generalist robots; Zhiyuan, SenseTime and NVIDIA predict a robot 'ChatGPT moment' in 2-5 years.
WAIC Review 3/4: What Scientists and Skeptics Really Think About Embodied AI: The Sober Voices at WAIC 2026
UCL and HKUST researchers, plus robotics CEOs, challenged embodied AI hype at WAIC 2026, citing generalization limits and no third-party evaluation standard.
WAIC Review 4/4: From Port AGVs to Hospital Night Shifts: What WAIC 2026 Reveals About Real Robot Deployments
From 530+ AGVs at a Singapore port to robots on Apple's line, WAIC 2026 speakers shared concrete data on where embodied AI robots are actually working today.
WAIC Review 1/4: Embodied AI's Industrialization Wave: Financing Data, Unit Economics, and a Widening Split
China's embodied AI sector raised $12.5B in H1 2026, but WAIC 2026 speakers detailed ROI demands, power bottlenecks, and the mass-production-to-sales gap.
Introduction to Robotics J. J. Craig — RSF Top 10 Robot Education Textbooks · No. 6
Six of ten benchmark universities teach kinematics from Craig. Frames, transforms and D-H parameters: the language vendor manuals already speak.
