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the required laboratory tools Applying parameter estimation and optimisation methods, supported by sensitivity and identifiability analyses Parameterising and validating battery models using test-cell
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the gap between state-of-the-art generative grasp planners and real-world physical execution. The core objective is to develop a robust robotic skill layer — integrating 6D object pose estimation with
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include: Developing and analyzing representative dynamic simulation scenarios for electrical power systems Extending kernel-based Gaussian Process methods for the estimation of electrical and control
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field robotics and tests its methods on robots in real environments. We are now looking for a postdoctoral researcher to work on localisation and mapping for robots in GPS-denied environments, where dust
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and advancement of multi-fidelity finite element models of steel structures with emphasis on fatigue hot-spot modelling, building on existing in-house methods Load and stress estimation using virtual
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, MPC), state estimation, system identification and design synthesis problems. A key characteristic of dynamic optimization problems (DOPs) is that the decision variables can be functions or trajectories
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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Engineer in Structural/Finite Element Analysis for Maritime Drone
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field robotics and tests its methods on robots in real environments. We are now looking for a postdoctoral researcher to develop sensing and autonomy for drones that inspect infrastructure and terrain in
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Protected Volume estimation, navigation, decision-making, and control modules within a simulation-based validation framework. Develop methods to estimate the maximum safe operational capacity for drone
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volume estimation, navigation, decision-making, and control modules within a simulation-based validation framework. Develop methods to estimate the safe operational capacity for drone operations under