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aerial robots in places with extended risk, such as underground mines and areas prone to rockfall. The work covers scene understanding with foundation models, navigation, and coordinated decisions within
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, experimenting and theoretical development, with the following research areas providing a template for relevant directions: Autonomous Underwater Robot Navigation in Aquatic Environments - Optimization-based path
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underground mines and areas prone to rockfall. The work covers scene understanding with foundation models, navigation, and coordinated decisions within the robot team when communication is limited
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control, navigation, and perception. Integrate hardware and software components for real-time robotic applications and ROS. Providing support during experiments both in the lab and on the field
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participating in the DARPA SUB-T challenge with the CoSTAR Team lead by NASA/JPL ( https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic
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research will investigate how high-level missions can be decomposed into prioritised and coordinated machine tasks, such as navigation, material handling and inspection. Particular attention will be given
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materials. The position is associated with the Robot Navigation and Perception Lab ( https://rnp.aass.oru.se ) which belongs to the Centre for Applied Autonomous Sensor Systems (AASS) research
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; Perception, Sensing, & Communication; Autonomy, Localization, Mapping & Navigation; Coordination, Self-Governance, & Self-Improvement; Human Swarm Interaction; and Swarm-based Services & Socio