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Field
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with the latest sensors (camera and LiDAR sensors), is available for the work. What you will do Development of algorithms for 3D multi-object tracking based on heterogeneous sensor data fusion (standard
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particular: Design algorithm for localization using ultrawide band (UWB) sensors. Conduct experiment, collect data, and analyze results. Simulate and evaluate system performance. Document research outcome to
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to pioneering research in the field of robotics. Key Responsibilities: Design, implement, and test robust software for robot localization, mapping, and navigation. Develop and refine algorithms for sensor fusion
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Your Job: This thesis focuses on designing, evaluating, and deploying algorithms for robot perception and control. The main task is predicting both self-motion and the motion of surrounding agents
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algorithms from concept to implementation; and performing systems integration and testing for technology maturation. Minimum Qualifications: 1. Ph.D. in relevant technical field 2. 6 years experience in
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troubleshooting to ensure real-world readiness. Develop and implement algorithms for autonomous control, SLAM and navigation. Ensure reliable communication between hardware components and the robotic system
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developing and testing with sensor fusion engines - Experience with navigation algorithm development - Effective written and verbal communication skills - Due to the requirements of our research contracts with
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and prepares a UAV flight & operation manual; Implements, documents, and field-tests in pilot farms the solutions of the software platform and the AI algorithms for processing high-resolution images
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expertise in analysing and interpreting satellite remote sensing data from Synthetic Aperture Radar (SAR) and multi/hyper-spectral sensors for measuring ground deformation, mapping surface changes due
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DC-DC converters, AC motor drives, and control algorithms Sensors such as MEMs accelerometers, piezoelectric sensing, MEMs microphones, etc. Your working location can be hybrid on-site/work from home