Internship R&D

📋 Description

• • Join Sereact GmbH, a pioneering company at the forefront of industrial robotics, where we are developing the intelligence that empowers robots to perceive, comprehend, and interact with the physical world. Our innovative technology is designed to bridge the automation gaps that conventional systems struggle to address, moving robotics from controlled laboratory environments into the dynamic realities of warehouses and factories. We are on a transformative mission to fundamentally redefine the landscape of physical work, and we are actively seeking curious, bold, and forward-thinking individuals to join us in shaping the future of robotics.
• • As a Research Intern focused on task decomposition and multimodal fusion for imitation learning in robotic manipulation, you will play a pivotal role in advancing our core technologies. This internship offers an exceptional opportunity for students or early-stage researchers who possess a profound passion for applying cutting-edge machine learning, computer vision, and robotics principles to solve complex, real-world industrial automation challenges. You will be immersed in a research-intensive environment, contributing directly to projects that have tangible impacts on our product development and strategic direction.
• • Your primary responsibilities will involve the development and rigorous evaluation of novel task decomposition methods. This includes breaking down intricate robotic manipulation tasks into manageable sub-tasks, enabling more efficient and robust learning for our robotic systems. You will delve into the investigation of advanced multimodal sensor fusion techniques, exploring how to effectively integrate data from various sources such as vision, force sensors, and tactile sensors. The goal is to significantly enhance the performance and reliability of learned policies, making our robots more adaptable and capable.
• • Furthermore, you will be instrumental in implementing and benchmarking comprehensive imitation learning pipelines. This will involve working with both sophisticated simulated robotic environments, such as PyBullet or Isaac Gym, and our state-of-the-art real-world robotic platforms. Your efforts will directly contribute to building and refining the learning capabilities of our robots, allowing them to learn complex behaviors from demonstrations.
• • A crucial aspect of this role is the close collaboration with our experienced engineering team. You will work hand-in-hand with them to ensure that research breakthroughs are effectively translated into functional prototype systems, bridging the gap between theoretical advancements and practical application. This collaborative process ensures that our research is not only scientifically sound but also commercially viable and impactful.
• • Beyond the technical contributions, you will be responsible for meticulously documenting your research progress, methodologies, and findings. This documentation will be essential for knowledge sharing within the team and for the broader dissemination of our work. You will also have the opportunity to present your findings clearly and concisely to a diverse audience, including both highly technical peers and non-technical stakeholders, honing your communication skills in a professional setting.
• • This internship is designed to provide a rich learning experience, exposing you to the full lifecycle of robotics research and development in an industrial context. You will gain invaluable hands-on experience with advanced robotics concepts, machine learning algorithms, and real-world engineering challenges, preparing you for a successful career in this rapidly evolving field.