We develop AI-powered robotic systems designed to handle complex tasks autonomously, improving efficiency and adaptability in industries such as manufacturing and services.
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Our AI-driven quantitative trading models analyze vast amounts of data to provide intelligent, data-backed investment strategies, helping clients optimize returns and manage risks.
Learn moreInnoligent Technologies GmbH is a cutting-edge technology company leveraging AI to drive innovation across multiple fields.
Behavior recognition, action prediction, and path guidance are key elements in robotics and AI. Behavior recognition identifies and interprets actions, while action prediction forecasts future movements based on current data. Path guidance ensures that robots or systems navigate efficiently by analyzing the environment and obstacles. Together, these technologies enable more autonomous and adaptive systems.
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AI enhances quantitative trading by analyzing large volumes of market data, identifying patterns, and executing trades in real time. Machine learning models predict trends, optimize strategies, and minimize risk, while automating decision-making and trade execution, leading to more efficient and accurate trading in volatile markets.
Learn moreDr. Xiao Xu is currently a senior researcher at the Department of Computer Science and Information Technology at the Technical University of Munich. In 2004, he was admitted directly into the joint program at Shanghai Jiao Tong University. From 2009 to 2016, he obtained both his Master's and PhD degrees from the Technical University of Munich. Currently, he leads a team of 5 PhD students and 8 Master's students at the Department of Computer Science and Information Technology. Dr. Xu has participated in the development of L4 autonomous driving systems for Germany's three major automotive manufacturers. His current research focuses include intelligent robotics, sensor fusion, human-robot interaction, teleoperation, haptic signal processing, and communication.
Qiuhai Guo studied Information Engineering at the Department of Electrical and Information Engineering at the University of Kaiserslautern from 2012 to 2016, earning a Bachelor's degree. In 2016, he began his Master's studies in Information Engineering at the Technical University of Munich (TUM) and graduated in 2019. Since 2020, he has been working as a Chief Researcher at a German technology company, where he is responsible for projects related to internet technology and company operations management.