voraus robotik GmbH
"The software platform for modern industrial automation."
German software company delivering hardware-agnostic robot control and automation platforms for industrial and collaborative robotics.
voraus robotik GmbH is a German robotics software company founded in 2022 in Hannover, Germany, by Jens Kotlarski (CEO) and Tobias Ortmaier. The company emerged from the evolution of cobot manufacturer Yuanda Robotics, which Kotlarski co-founded in 2017. After nearly five years of award-winning cobot hardware development, the team pivoted in early 2022 to focus entirely on software, forming voraus robotik with a mission to modernize industrial automation through hardware-agnostic, developer-friendly software platforms.
voraus robotik's primary product is voraus.core, a containerized runtime system that orchestrates entire automation cells including robots, drives, grippers, conveyor belts, and other fieldbus-connected components, independently of any specific hardware manufacturer. This flexibility allows customers to integrate voraus.core into existing factory infrastructure without being locked into proprietary controller ecosystems.
The company also offers voraus.pioneer, a development environment that enables software engineers to program, simulate, test, and optimize automation solutions in Python using modern DevOps workflows. Crucially, voraus.pioneer keeps the simulation and real-world cell synchronized through a shared codebase, reducing time from development to deployment. A third product, voraus.motion, allows control of industrial robots via Bosch Rexroth ctrlX OS devices, supporting both no-code and extended custom-code programming styles.
The company holds a partnership with Bosch Rexroth as part of the ctrlX WORLD ecosystem and partnered with Agile Robots SE to supply the control software for the safety-certified Yu5 Industrial collaborative robot. In 2024, voraus robotik initiated the IRPro research project jointly with Fraunhofer IFF to develop software tools for automated risk assessment during robot programming. The company is headquartered at Carl-Buderus-Strasse 7, 30455 Hannover, Germany.
Primary type & automation activities this supplier delivers:
voraus.core
Containerized, hardware-agnostic runtime that orchestrates robots, drives, grippers, and fieldbus components in automation cells.
voraus.pioneer
Python-based development environment to program, simulate, test, and deploy robot automation with synchronized real and virtual cells.
Contact voraus robotik GmbH
WEBSITE
https://vorausrobotik.com/PHONE
+49 511 89810600HEADQUARTERS
Germany
Company Facts
Founded
2022
Primary Role
Software/Algorithm
Company Size
-
Primary Region
Europe
Annual Sales
-
Funding Stage
-
Funding Total
-
FAA to Implement $875 Million AI Program to Enhance Air Traffic Management
The Federal Aviation Administration (FAA) is addressing a nationwide air traffic control shortage with an innovative solution: an $875 million AI software program. This initiative, known as SMART (Strategic Management of Airspace, Routes, and Trajectories), aims to assist air traffic controllers in managing workflows and ensuring safer flight navigation. The significance of this program lies in its potential to transform air traffic operations by utilizing AI to analyze various factors such as airline schedules, weather conditions, and airport capacity. By predicting traffic flows and identifying conflicts before they arise, SMART is expected to enhance the efficiency and safety of air traffic management across the country. The rollout of SMART will begin in the Washington, D.C., metropolitan area, with plans for expansion to other regions. Additionally, the FAA has introduced a new hiring plan to address staffing shortages and is actively working on modernizing the nation's air traffic systems. No further timeline was disclosed at the time of publication.
AI Government & Policy air traffic control In Brief
Aetina Launches AIE-KT78 and AIE-KT68 for Advanced AI in Robotics Control
Aetina Corporation has announced the general availability of its DeviceEdge AIE-KT78 and AIE-KT68 edge AI systems. These systems support local multimodal generative AI, LLM, VLM, and VLA model execution, enabling seamless integration with high-resolution sensors, motors, joints, and actuators through high-bandwidth interfaces and EtherCAT control. The introduction of these systems is significant as they are powered by NVIDIA Jetson Thor and utilize the NVIDIA Blackwell architecture, providing high-performance AI compute and deterministic industrial control. This makes them ideal for Collaborative Robots (Cobots), humanoid robots, and next-generation autonomous machines, enhancing their ability to perceive, reason, decide, and act in real-world environments. Looking ahead, the focus will be on how developers leverage the capabilities of the AIE-KT78 and AIE-KT68 systems to create more sophisticated robotic applications. No further timeline was disclosed at the time of publication.
Arm Launches Total Design for Physical AI, Uniting Over 80 Developers in Robotics
Arm Holdings PLC has introduced Arm Total Design for Physical AI, a program that unites over 80 companies involved in the physical AI technology stack. This initiative aims to foster collaboration among participants in the physical AI space, addressing challenges in perception, AI, real-time control, and safety. The significance of this program lies in its potential to streamline the fragmented robotics industry, which often sees companies struggling to collaborate effectively. Dermot O’Driscoll, vice president at Arm, emphasized the need for a cohesive ecosystem where technology and ideas can be shared, enhancing the development of interoperable systems. Looking ahead, Arm's Robotics Capability Framework will categorize robotic systems into six levels of sophistication, from basic reactive robots to advanced systems that learn and self-optimize. Arm is seeking industry feedback to refine these levels, indicating a commitment to evolving the understanding and capabilities of robotics in the market.
Artificial Intelligence Artificial Intelligence / Cognition Automotive Design / Development Development Tools / SDKs / Libraries Markets / Industries
Odyssey Launches Odyssey-3 World Model for Robots, Humanoids, and Drones
Odyssey has unveiled Odyssey-3, a versatile world model designed to control robots, humanoids, autonomous vehicles, and drones using a unified AI system. This autoregressive diffusion transformer is trained on a diverse set of visual observations, allowing it to adapt with minimal task-specific data. The model has been pre-trained to understand physics, motion, and human behavior, enabling developers to create tailored action decoders for various systems. The significance of Odyssey-3 lies in its potential to streamline the training process for humanoid robots. In collaboration with Flexion, Odyssey is exploring how pretraining can minimize the data required for teaching new skills. Flexion has successfully developed control policies for tasks like object manipulation using only a small amount of teleoperation data, demonstrating improved generalization over traditional models. Looking ahead, Odyssey plans to publicly release Odyssey-3 in the coming weeks. The company is also collaborating with Poke & Wiggle to assess the model's adaptability across different robot types and control systems. This initiative could reshape how robots learn and adapt to new environments, enhancing their operational capabilities significantly.
AI AI Funding & Investment Robotics autonomous vehicles Flexion humanoid robotics
Scalabot Introduces HERON-CRA with Enhanced Memory and Reinforcement Learning Engine
Songyan Dynamics' Scalabot brand has launched HERON-CRA, which integrates a 4D Context Expert memory and a plug-in Reinforcement Learning (RL) Engine. This innovative combination has significantly improved the sock-folding success rate from 38.5% to an impressive 97.8%. The introduction of HERON-CRA is significant as it showcases advancements in embodied control, enhancing the capabilities of robotic systems in performing complex tasks. The integration of context memory and RL technology allows for more adaptive and efficient learning processes in robotics. Looking ahead, the impact of HERON-CRA on the robotics landscape will be noteworthy, particularly in applications requiring fine motor skills and contextual understanding. No further timeline was disclosed at the time of publication.
Nipper Enhances Driverless Pallet Transport Vehicles with B&R Automation Technology
Nipper has equipped its driverless pallet transport vehicles with automation technology from B&R to optimize space in modern production and warehouse environments. These vehicles are designed to operate in tight spaces where every square meter counts, sharing work areas with employees and pallets. The integration of B&R's technology enables safe, predictable, and efficient movements within centimeter precision. This development is significant as it addresses the challenges of maximizing space utilization in contemporary manufacturing and logistics settings. With limited room for error, the collaboration between Nipper and B&R aims to enhance operational efficiency and safety in environments where autonomous transport systems are increasingly common. The focus on centimeter-level movement precision is crucial for maintaining workflow in congested areas. Looking ahead, the industry will likely see more innovations in automation technology that cater to the needs of compact workspaces. As companies strive for greater efficiency and safety in their operations, the advancements made by Nipper and B&R could set a benchmark for future developments in driverless transport solutions. No further timeline was disclosed at the time of publication.
Allgemein Anwendungen & Lösungen Automation Fördertechnik & Handling Lagerlogistik & Materialfluss Mobile Robotik
Polyplan Develops Robotic Inline Measurement System for Automotive Manufacturing Quality
Automotive manufacturers face challenges in maintaining uniform gap dimensions and precise alignment of body components, which are critical indicators of production quality. These factors significantly impact vehicle sealing, wind noise reduction, and the proper functioning of doors and hoods. To address these challenges, Polyplan has developed a robotic inline measurement system that has already been delivered to initial production facilities. The ability to ensure consistent gap and flush measurements is essential for manufacturers and their suppliers, as it directly correlates with vehicle quality and customer satisfaction. The introduction of Polyplan's system aims to enhance manufacturing processes by providing accurate measurements in real-time, thus improving overall production efficiency and product quality. Looking ahead, the automotive industry will continue to prioritize precision in manufacturing to meet consumer expectations. Polyplan's innovative solution may set a new standard for inline measurement systems, and further developments or deployments could be anticipated as the technology gains traction in the market. No further timeline was disclosed at the time of publication.
Allgemein Anwendungen & Lösungen Automobilbau & Zulieferer Lösungen Robot Vision & Inspection
Innovation Works Venture Expo 2026: 58 Pittsburgh Startups Pitch to Investors
58 health, deep tech and robotics startups pitched at Innovation Works Venture Expo 2026 in Pittsburgh. Full company list, program and 2025 funding data.
SimScale Engineering AI Moves Physics Simulation to the Exact Moment a Design Decision Gets Made, Inside Onshape
SimScale’s Engineering AI Agent runs CFD, thermal, EMag and FEA from one prompt inside PTC’s Onshape, starting from CAD that isn’t simulation-ready.
Innovative Dual-Adaptive Control Enhances Obstacle Avoidance in Hybrid Boom Lifts
The Journal of Field Robotics has published an early view article detailing a dual-adaptive control system designed for hybrid boom lifts. This innovative approach aims to improve the smoothness of obstacle avoidance, enhancing operational safety and efficiency in various environments. The significance of this development lies in its potential to transform how hybrid boom lifts navigate complex work sites. By implementing dual-adaptive control, operators can expect reduced risk of accidents and increased productivity, making these machines more reliable for construction and maintenance tasks. Looking ahead, industry professionals should monitor the adoption of this technology in real-world applications. The effectiveness of dual-adaptive control in enhancing obstacle avoidance will be crucial for its acceptance and integration into existing hybrid boom lift systems. No further timeline was disclosed at the time of publication.
RESEARCH ARTICLE
Closed-Loop Automation Enhances Decision-Making in Manufacturing Operations
Manufacturers are increasingly leveraging data from automated equipment to enhance operational performance. However, the mere accumulation of data does not guarantee improved decision-making. Organizations must ensure that insights from recurring issues are communicated across teams to prevent repeated failures and to track the effectiveness of process changes. The significance of effective data feedback loops is highlighted by NIST's definition of smart manufacturing decision systems, which emphasizes the importance of context provided by knowledgeable personnel. Schneider Electric's smart factory in Lexington, Kentucky, exemplifies this approach by integrating equipment data and operator insights through its EcoStruxure platform, resulting in a 20% reduction in mean time to repair critical equipment. Looking ahead, the focus will be on how manufacturers can further utilize technology to bridge the gap between data collection and actionable insights. For instance, Sachsenmilch's implementation of Siemens Senseye Predictive Maintenance software demonstrates the potential of predictive analytics in preemptively addressing equipment failures, thus optimizing maintenance schedules and minimizing production disruptions. No further timeline was disclosed at the time of publication.
Process / Design
Botfellows Introduces Dynamic Safety System for Flexible Production Environments
Botfellows, a startup, has developed a modular safety system called Dynamic Safety, designed for flexible and dynamic production environments. This system enables 3D real-time detection, tracking, and classification of objects within changing safety zones, addressing the high demands of automation technology for functional safety. The significance of this innovation lies in its ability to enhance safety in production settings that require adaptability and responsiveness. By utilizing a generic approach, the Dynamic Safety system can be integrated into various applications, ensuring that safety measures keep pace with the dynamic nature of modern manufacturing. Looking ahead, the integration of Botfellows' Dynamic Safety system with the PLCnext Control safety controller from Phoenix Contact presents a promising development in automation technology. No further timeline was disclosed at the time of publication.
Allgemein Anwendungen & Lösungen Robotersteuerung & Digital Twin Robotik
China’s Dexterous Hand Industry, 2026 Part 3 — The Players
Five vendor archetypes, MIR’s composite top ten, eight company profiles and six field deployments — every firm linked to the RobotToday supplier directory.
China’s Dexterous Hand Industry, 2026 Part 2 — The Technology
Linkage, tendon, direct drive or hybrid — and why hardware is converging while the DL1–DL5 manipulation scale decides who wins. Part 2 of 3.
China’s Dexterous Hand Industry, 2026 Part 1 — The Demand Picture
MIR Databank puts China dexterous hand shipments above 30,000 units in 2026, yet only 3.5% of 2025 demand came from factory production. Part 1 of 3.
Software, Compute and Interaction at WRC 2026
47 WRC 2026 exhibitors supply robot software, compute or interaction — but only 19 call themselves software companies. Five open artefacts, licence-checked.
WRC 2026 Core Components: 137 Robot Parts Suppliers
The third report in the WRC 2026 series. Report 1 mapped all 248 exhibitors by category and Report 2 covered the 139 that build finished robots. This one covers the 137 that build what goes inside them.
WRC 2026 Robot Systems: 149 Companies That Build Robots
149 of the 248 classified WRC 2026 exhibitors build finished robots. 93 build humanoid or legged machines. The audited humanoid sales number is one unit.
ROBOTTODAY Weekly August 10 – 14, 2026
Your weekly robotics briefing: Unitree's IPO is swamped by retail demand, the US puts 100% tariffs on imported drones, LG and Nvidia commit to a 2027 humanoid, and Uber and Pony.ai bring 2,000 robotaxis to Europe.
Inside Saga Robotics: UVC Light vs. Crop Disease
Saga Robotics CPO Damian Flynn on the Thorvald platform's UVC treatment system, its jump from UK strawberries to California wine grapes, and why he's “incredibly bullish” on applying automation and robotics into industries “most chaotic environment.”
