Köberlein & Seigert GmbH
"The Original. Works."
German feeding & automation specialist since 1969; makes vibratory feeders, step conveyors, and part-handling machines for automotive and industrial sectors.
Köberlein & Seigert GmbH, founded in 1969 in Saal an der Saale (Bavaria) and currently headquartered at Im Oberen Weidig 1, D-98631 Grabfeld, Germany, is a specialist developer and manufacturer of feeding technology and automation solutions for industrial production environments. With over 50 years of engineering experience, the company designs and produces special-purpose machines and bulk material systems for the automated feeding, orientation, and handling of parts and components across the automotive, mechanical engineering, electrical, pharmaceutical, and furniture industries. The company's core product range includes vibratory bowl feeders, step feeders (Stepfeeder systems), blow feeding systems, drum feeders designed for rubber parts, lift and tilt devices, parts storage systems, linear and special conveyors, tray handling systems, and vibration sorting tracks.
Beyond mechanical feeding, Köberlein & Seigert integrates vision inspection systems, laser marking, image processing, and robot application interfacing into its automation lines, enabling complete in-line quality control and part identification. In the automotive sector, the company supplies feeding systems for valve locks, valve springs, screws, sheet metal parts, and battery contacts — delivering parts reliably to assembly robots and production lines. Custom assembly automation and interlinking solutions are also offered, addressing both single-machine applications and full production line integration.
The US subsidiary, Koeberlein & Seigert LLC, was established in Campobello, South Carolina in the year 2000, extending global service reach. Köberlein & Seigert exhibited at Automatica Munich and serves globally operating industrial clients. The company currently operates under the Köberlein Technologies brand identity while maintaining the original Köberlein & Seigert GmbH legal entity.
The company's approach emphasizes robustness, high availability, and process efficiency in automated manufacturing environments.
Primary type & automation activities this supplier delivers:
Contact Köberlein & Seigert GmbH
WEBSITE
https://www.koeberlein-seigert.comPHONE
+49 36944 522 0HEADQUARTERS
Germany
Company Facts
Founded
1969
Primary Role
Manufacturer
Company Size
-
Primary Region
Europe
Annual Sales
-
Funding Stage
-
Funding Total
-
Keywords
- Köberlein & Seigert GmbH
- feeding technology
- vibratory bowl feeder
- automotive
- parts handling
- assembly automation
- special machines
- Industrial Manufacturing
- Logistics & Supply Chain
- System Integrator
- Manufacturer
- Component Supplier
- End-effector & Grasping
- Motion & Actuation
- Navigation & Positioning
- Manufacturing
Analyzing Xiaopeng Robotics' $43 Billion Valuation Amidst Challenges
Xiaopeng Robotics has recently been valued at $43 billion, a figure that raises questions about its underlying business fundamentals. The valuation reflects a significant investment round led by IDG Capital, with participation from high-profile investors like Tencent and Alibaba, marking a record in the domestic embodied intelligence sector. However, the company faces challenges, including a net loss of 1.24 billion yuan in Q2 and a low automotive gross margin of 12.1%. The valuation appears to be driven by the need for a new narrative as the core business struggles. Key team members have departed, including founder Zhao Tongyang, who left due to strategic differences, leading to concerns about leadership stability. Additionally, the technology underpinning Xiaopeng's vision-language-action (VLA) model is still being validated, with its performance in complex scenarios yet to be proven at scale. Looking ahead, Xiaopeng Robotics' $43 billion valuation represents a gamble on the potential of its autonomous driving technology and its transition from a car manufacturer to a physical AI company. However, the uncertainties surrounding team stability and technological advancement pose significant risks that could impact the company's future trajectory. No further timeline was disclosed at the time of publication.
Robotics AI Investment Technology Validation
Yushu Robotics Expands International Rental Business with G1 Robots for Events
At a lively private birthday party in the United States, two silver Yushu G1 robots danced on stage, delighting guests. This scene exemplifies Yushu Robotics' overseas rental business, with daily rental fees reaching $3,000, excluding shipping and operator costs. Robonow Global has assembled a fleet of over 50 G1 robots, covering the entire U.S. market. The significance of this rental model lies in its ability to lower ownership costs for businesses and assist in calculating return on investment, as noted by Ethan Qi, Deputy Director at Counterpoint Research. However, the actual tasks performed by these rented robots often focus on entertainment and educational demonstrations rather than industrial applications, indicating a gap in their deployment in manufacturing. Looking ahead, Yushu Robotics' founder Wang Xingxing highlighted the industry's challenge of insufficient embodiment intelligence. He predicts that humanoid robots may achieve capabilities similar to ChatGPT within 2 to 10 years. As of August 25, Yushu's stock price has seen a decline, reflecting market skepticism about the robots' practical applications in production lines, suggesting that significant advancements are still needed before widespread industrial adoption occurs.
Service Robots Entertainment Robotics Robot Rental Research and Development Industrial Automation
Insights from the Humanoid Robot Olympics: Challenges and Investment Strategies
During the second World Humanoid Robot Olympics, unexpected failures highlighted critical reliability issues in robotics, according to Kang Yu, General Manager of the Capital Markets Department at Shoucheng Holdings. She emphasized that the event serves as an extreme test for robots, revealing the challenges they must overcome before mass production. Kang noted that this year's competition featured an increased focus on autonomy, with robots attempting to perceive and understand their environment. However, the complexities of ensuring consistency among multiple robots and maintaining stability during unexpected scenarios remain significant hurdles for the industry. Looking ahead, Kang indicated that Shoucheng Holdings plans to analyze the problems observed during the competition to identify investment opportunities across the robotics supply chain. The company is diversifying its investments beyond humanoid robots to include joints, materials, data, and computational power, emphasizing a holistic approach to developing embodied intelligence in robotics.
Humanoid Robots Robot Reliability AI Development Investment Strategy Robotics Industry
U.S. Air Force Transforms Aircraft Inspections with Asylon's Robot Dog and Drones
The U.S. Air Force's Warner Robins Air Logistics Center has awarded Asylon a Phase III SBIR contract to advance the MARIA system, integrating the Guardian drone and DroneDog robot dog for automated aircraft inspections. This system allows for rapid digital mapping of aircraft, significantly reducing inspection time from days to hours while eliminating the risks associated with manual high-altitude checks. The collaboration between the DroneDog and Guardian drone enables comprehensive inspections, identifying anomalies and defects autonomously. The data is transmitted in real-time to the DroneIQ platform, allowing maintenance personnel to review results through 2D workflows or 3D digital twin views. The system's core value lies in its speed and consistency, ensuring that inspections cover the same points each time, thus minimizing the randomness of manual checks. Currently programmed for the Lockheed C-5 and C-130 aircraft, the long-term goal is to expand the system's capabilities across all Warner Robins aircraft types and the broader Air Force logistics framework. Asylon aims to enhance the MARIA system with advanced AI anomaly detection and explore humanoid fleet management for concurrent maintenance tasks.
Robotic Inspection Aerospace Technology Drone Technology Automation Military Logistics
UK Army Commander Highlights Limitations of Ground Robots in Complex Battlefield Exercises
As military forces worldwide seek to learn from the Ukraine conflict, unmanned ground vehicles (UGVs) are being rapidly integrated into operations. However, a former frontline commander of the UK Army recently concluded that these machines are not always the right tools for the job. During a high-intensity exercise called 'Fusion Program Apex 6' at the National Training Center in California, UGVs were put to the test alongside troops from the UK and US. Colonel John Black from the Yorkshire Regiment noted that despite testing various use cases, significant challenges emerged regarding the practical application of ground robots in combat. Heavy logistical burdens were identified, as many mid-sized UGVs require trailers or flatbed trucks for transport, complicating battlefield mobility. Additionally, energy supply issues, including the need for extra batteries or fuel, further complicate operations. The exercise revealed that ideal operational ranges often fall short in complex terrains, with obstacles confusing most UGVs. Furthermore, maintaining stable remote control connections in a battlefield environment poses significant challenges. Black emphasized that while UGVs may address specific battlefield pain points, they are not universal solutions. The core value of such tests lies in understanding how unmanned systems can integrate into existing combat networks, potentially transforming the nature of warfare.
Unmanned Ground Vehicles Military Robotics Logistics Technology Autonomous Systems
Jitai Intelligent Introduces Specialized Robots for High-Risk Energy Supply Chain Operations
At the World Robot Conference in Beijing, Jitai Intelligent showcased two specialized wall-climbing robots designed for high-risk energy operations. One robot is tailored for inspecting water-cooled walls in thermal power plants, while the other is for external inspections of wind turbine blades. These innovations address significant safety concerns and operational inefficiencies in energy supply chains. The importance of these robots lies in their ability to enhance safety and efficiency in hazardous environments. Traditional inspection methods in thermal power plants require scaffolding and expose workers to extreme risks, while wind turbine inspections often suffer from high error rates and limited operational windows. Jitai's robots utilize advanced technologies such as permanent magnetic adhesion and vacuum suction, significantly improving inspection accuracy and reducing the risk of accidents. Looking ahead, Jitai Intelligent aims to further develop its technology to meet the evolving needs of the energy sector. The company has established a comprehensive technology framework and is working on a national standard for boiler inspection robots, expected to be released by the end of 2026. As the demand for predictive maintenance grows, Jitai's focus on integrating robotics into existing safety management frameworks will be crucial for future deployments.
Wall-Climbing Robots Energy Sector Automation Safety Technology Predictive Maintenance
Figure 03 Demonstrates Autonomous Climbing of 4.6-Meter Industrial Ladder
Figure 03 recently released a video showcasing its robot autonomously climbing a 4.6-meter industrial ladder and descending without remote control or pre-recorded paths. The robot must perform five simultaneous tasks: identifying rungs with cameras, accurately gripping, finding foot placements, controlling climbing rhythm, and redistributing its center of gravity with each movement. This achievement is significant as it deviates from traditional motion planning methods, utilizing the Helix system for real-time mapping and neural network calculations for joint movements. According to Adcock, this demonstration represents a real customer use case, highlighting the practical need for robots to navigate existing infrastructure in industrial settings, such as maintenance and material transport. The Figure 02 robot has been operational at BMW's Spartanburg plant for over a year, handling over 90,000 parts and running for more than 1,250 hours. Figure 03 builds on this by adding logistics sorting and vertical mobility, covering multiple levels within the facility. No further timeline was disclosed at the time of publication.
Humanoid Robots Industrial Automation Robotics Technology AI Autonomous Systems
Galileo Unveils Galileo X All-Terrain Mobility Platform at World Robotics Conference 2026
During the 2026 World Robotics Conference, Galileo launched the Galileo X all-terrain mobility platform, introducing a new category called the 'Land Walking System.' The concept machine weighs approximately 50 kg and demonstrated a load capacity of around 70 kg with multi-modal switching. Galileo plans to release a mass production version in Q4, targeting a rated load of 200 kg, a maximum load of 400 kg, and a full-load endurance of 15 hours. This launch is significant as it addresses the limitations of existing robotic solutions in complex industrial environments. Traditional quadruped robots excel in obstacle navigation but struggle with endurance and load efficiency, while AGVs are limited to flat, enclosed spaces. The Galileo X aims to create a seamless task chain for industrial operations, reducing the need for multiple devices and associated costs. Looking ahead, no further timeline was disclosed at the time of publication. However, the industry will be watching how Galileo's integrated approach to mobility and control systems can redefine operational capabilities in various sectors, including rail, power, and petrochemicals, where their products have already seen success.
All-Terrain Robots Industrial Robotics Mobility Solutions Robotic Systems
AirData Achieves 65 Million Drone Flights as FAA's BVLOS Rule Approaches Finalization
AirData, a drone fleet management platform based in California, has announced it has tracked over 65 million drone flights globally, encompassing more than 850,000 drones and 470,000 pilots. This milestone arrives as the FAA's Part 108 rule, which would permit routine beyond visual line of sight (BVLOS) operations, nears its final review stage. The significance of this achievement lies in the rapid growth of commercial drone operations, with AirData adding 15 million flights in just 15 months, indicating a shift from trial programs to regular integration of drones in business operations. The upcoming Part 108 rule aims to redefine accountability in drone operations, shifting responsibility from individual pilots to the operating organizations. As the FAA's BVLOS framework approaches implementation, AirData's extensive flight database and operational insights position it as a key player in the evolving drone industry. The company’s platform already aligns with the anticipated regulatory requirements, showcasing its readiness for the future of large-scale drone operations in various sectors.
News
JD 7Fresh Launches Unmanned Robot Coffee Shop, Sets Guinness Record for Speed
JD 7Fresh has inaugurated its first 24-hour unmanned robot coffee shop in Beijing, achieving a Guinness World Record by serving 202 cups in one hour. This innovative venture raises questions about the potential for robot cafes to replace traditional human baristas in the coffee industry. The significance of this development lies in the intersection of technology and consumer experience, as JD 7Fresh explores automation in food and beverage service. The record-setting speed of under 18 seconds per cup highlights the efficiency of robotic systems in a sector traditionally dominated by human interaction. Looking ahead, industry observers will be keen to see how this initiative influences consumer preferences and whether it leads to broader adoption of robotic solutions in cafes and restaurants. No further timeline was disclosed at the time of publication.
