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opportunity is sponsored by Alsco. Where to apply Website https://phd.fbk.eu/calls/detail/robot-learning-for-vision-based-quality-control/ Requirements Research Field Other Education Level Master Degree or
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navigation performance and adaptive robot behavior. Integrate visual navigation and planning modules with humanoid locomotion and whole-body control systems. Build and evaluate algorithms in
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Centar izvrsnosti MARBLE drustvo s ogranicenom odgovornoscu za istrazivanje i razvoj | Croatia | about 1 month ago
mission planning and task allocation for heterogeneous multi-robot systems Cooperative trajectory planning and coordination of UAVs, USVs, and AUVs/ROVs Optimal control and Model Predictive Control (MPC
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structure, state, control commands, external disturbances, and environmental conditions to predict interaction effects. Unlike robot-specific neural network models, the proposed approach aims to learn a
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adaptive shared control, such that the robot adaptively learns to anticipate the user’s mental intent based on a number of sensory readings. Thus, the user will address the task at a high level and all
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reach. Afterwards the drone has to land on the ground robot again, with noisy odometry and an uncertain estimate of where the ground robot is. This position will develop the estimation and control
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, or equivalent practical experience; strong programming ability in Python; demonstrated hands-on experience with physical robot systems including at least one of: manipulator control, teleoperation
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related field, or equivalent practical experience; strong programming ability in Python; demonstrated hands-on experience with physical robot systems including at least one of: manipulator control
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control in one large foundation model. Using an input image of the robot’s surroundings and a textual command, these models are able to output low-level robot actions that can be executed to accomplish
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robotics, or physical human-robot interaction. Experience in sensors, signal processing, and sensor integration for robotic or mechatronic systems. Experience in automatic control theory and implementation