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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 days ago
of robots. Specifically, starting with movement, as it is the basis of any robotic behaviour, the project aims at testing the hypothesis that a robot employing robotlike behaviours will lead humans to have
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their integration with other communication modalities such as motion, gaze, or speech. The work will combine robotics, human–robot interaction, and experimental methods, involving the development
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the following research areas providing a template for relevant directions: - Field Robotics with a focus on Arctic Environments - Autonomous Navigation and Motion Planning in Sensor-Degraded Disaster Environments
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the following research areas providing a template for relevant directions: - Field Robotics with a focus on Arctic Environments - Autonomous Navigation and Motion Planning in Sensor-Degraded Disaster Environments
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of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Safe Learning Based Control for Autonomous Robots in Dynamic Environments within the general
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, these robots must perceive, plan, and act in open-world conditions: never-seen objects, shifting lighting, clutter, domain shift, and multi-task requirements. These factors challenge current robotic systems
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Qualifications (one or more): AI Robotics: ROS/ROS2, Python, perception (CV/multimodal), motion/task planning, control & safety, simulation (Gazebo/Isaac Sim), and edge deployment. Semiconductor manufacturing
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from the FEMTO-ST Institute, and trips between Montpellier and Besançon will be planned during the thesis. The background of the PhD student should be ideally in mechatronics, robotics, mechanical design
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navigation. Building on our AI-driven reconstruction pipelines, the research will advance three core areas: robotic imaging (end-effector design, calibration, motion planning), 3D reconstruction (multi-view
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movement as well as performing the “sim2real” step for the control of physical musculoskeletal robots in the real world, i.e., use cass include neuromuscular model-based control of robotic legs and arms