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execution of complex tasks. The research activities will include the development and integration of robot control algorithms, RGB-D vision systems, force sensing and machine-learning methods for robotic
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | about 1 month ago
the physical robot. Because the FR3 requires real-time control, the architecture will separate the local real-time robot controller from the higher-level HANDZONe communication. A second objective is
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | 27 days ago
(REconfigurable robot collectives for real-time FLOW control). The RE-FLOW project is supported by the EAISI Multidisciplinary AI Research ( EMDAIR ) program, and combines computer science with robotics
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teleoperation platform at the MIRMI and will involve real-time control, networked robotics, passivity-based control, human–robot interaction, and AI-assisted shared control. A key aspect of the
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robots and how AI-assisted testing can identify weaknesses relevant to defensive intervention and human protection. The robot will be considered as an interconnected mechanical, electrical and control
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, the School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to
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of collaborative robotic systems operating in shared environments with human operators. The research will focus on the definition of models and algorithms for planning, control, and dynamic task
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autonomous operation of machines, advanced control, and new data-driven services. Our industrial partners are global market leaders in their product categories, with installed fleets operating worldwide
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the robot team when communication is limited. Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving
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environment. Our research group, the Robot Athletic Intelligence Lab (RAIL) , focuses on legged robotics and dynamics & control, developing systems that push the boundaries of robotic locomotion