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Field
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selection criteria Knowledge and skills in the following areas: Robotics, computer science, computer vision, machine learning, state estimation, perception, sensor fusion, autonomous systems, navigation and
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Institute of materials and machine mechanics Slovak academy of sciences | Slovakia | about 1 month ago
. • Experience/portfolio in robotics (C++/Python), kinematics and basic control; familiarity with ROS/ROS2. • Advantage: MoveIt, Gazebo/Isaac, F/T sensors, camera calibration (SWIR is a plus), Git/CI. Personal
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application process here. About the position Field Robotics focuses on developing resilient robotic systems able to perform operations in diverse and highly dynamic environments and it has applications across
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, this position offers a unique opportunity. You will work with real robots, real sensors, and real physical interaction problems, contributing directly to the development of autonomous mining systems capable
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combination of education and experience with two years of related experience. Experience working with components of robotic systems (e.g., sensors, actuators, microcontrollers). Minimum qualifications for a
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than 1,800 employees and nearly 21,600 students. The Robotics and Artificial Intelligence subject, RAI, at the department of Computer Science, Electrical and Space Engineering at Luleå University
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fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results
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facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in
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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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characterization of plant fibers by using a robot with a small tip that can compress the plant fibers one by one. These works demonstrated the capability to efficiently generate experimental tests but, we now want