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Development: Cell setup in sim and real: build a digital twin in Isaac Sim/Lab for the robot cell; mirror the real setup with matching kinematics, collision geometries, and dynamics. Algorithm Implementation
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students who would like to write their final thesis in the field of machine learning / computer vision. The primary goal of this master’s thesis is to develop an algorithm that can accurately and efficiently
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of the developed algorithms) Empirical investigation of use cases Scientific exchange and publication of results This position offers the possibility to acquire a PhD degree, which is encouraged. This research
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. When will
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: build a digital twin in Isaac Sim/Lab for the robot cell; mirror the real setup with matching kinematics, collision geometries and dynamics Algorithm Implementation: Develop and deploy reinforcement
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platform for various reinforcement learning and deep learning algorithms for an industrial robot with a robotic hand as end effector.The cloud setup should support large-scale DRL experiments, and robust
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, and construction of optical systems in the laboratory Documentation and evaluation of experimental and simulation results Development and validation of machine learning algorithms (e.g., CNNs, deep
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and Objectives Industry Objectives: Develop methods and algorithms for robust real-time 3D situational awareness and semantic 3D environmental segmentation. Create algorithms and representations
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, and are delighted that more and more women are shaping the digital future with us. The “Software-based Networks” (NGNI) business unit develops efficient, scalable, and application-optimized
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, aiming to explore and develop AI algorithms, frameworks, and hardware architectures for efficient edge deployment in vehicles, with a focus on neuromorphic computing. You will be part of the scientific TUM