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for hearing devices in dynamic acoustic environments with multiple talkers, including algorithm design, implementation, and experimental validation. A central element is the use of multi-modal sensor data, e.g
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sensors systems and UAVs at different scales. In particular, we will combine borehole and surface GPR as well as small-scale EMI measurements with root and shoot observations in controlled experiments
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Stud. assistant (m/f/d) - Obj. Detection in clutter and Obj. Tracking in robotic hand (in Heilbronn)
an automated evaluation pipeline. Calibrate and time-synchronize multi-camera systems with tactile sensors; define data schemas and ROS 2/Isaac ROS interfaces. Algorithm Implementation: Develop multi
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or related fields past experience with Machine Learning algorithms and systems past experience with robot control and operation programming experience with ROS, C/C++, Python and/or PyTorch experience in
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 25 days ago
Interactions” to develop datasets and algorithms to capture and analyze eye gaze. About the project We are supporting the development of highly realistic human and animal avatars for use in research, film
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supporting multiple sensors (LiDAR, radar, camera) for dynamic environments like ports, airports, and logistics hubs. Optimize algorithms for real-time operation on edge devices with limited computational
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Student assistant (m/f/d)-Multi-Modal Sensor Fusion, Object Detection in Clutter and Object Tracking
an automated evaluation pipeline. Calibrate and time-synchronize multi-camera systems with tactile sensors; define data schemas and ROS 2/Isaac ROS interfaces. Algorithm Implementation: Develop multi
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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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sensor systems Implementation of digital signal processing (Python or MATLAB) Experimental characterization of optical and electrical components (lasers, optics, optical fibers, etc.) Planning, simulation
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Literature Review: Survey reinforcement learning, in-hand manipulation, object grasping and multi-modal (vision, proprioception, and tactile) sensor fusion Framework Development: Cell setup in sim and real