Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Tallinn University of Technology
- NTNU Norwegian University of Science and Technology
- Technical University of Munich
- Delft University of Technology (TU Delft)
- Nature Careers
- University of Southern Denmark
- Aalborg Universitet
- DTU Electro
- Luleå tekniska universitet
- Technical University Of Denmark
- CNRS
- Chalmers University of Technology
- Chalmers tekniska högskola
- Delft University of Technology (TU Delft); yesterday published
- ETH Zürich
- KU LEUVEN
- Linkopings universitet
- Linköpings universitet
- Lulea University of Technology
- Technical University of Denmark
- The University of Manchester
- The University of Manchester;
- Umeå University
- Universidade de Coimbra
- University of Luxembourg
- University of Nottingham
- University of Twente (UT)
- University of Zurich
- Uppsala universitet
- 20 more »
- « less
-
Field
-
representation. The research will be conducted within the Robotics and InteractionS team at LAAS-CNRS, a historically renowned research environment for Human–Robot Interaction and autonomous robotics. The project
-
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
-
Research theme: Control Engineering, Robotics How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will
-
tasks, and the need for precision. Effective operator training and autonomous robotic assistance are crucial to ensuring safe and efficient teleoperation in these extreme conditions. This PhD project
-
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
-
on the DANARC project which focuses on developing an AI-powered robotic system capable of autonomously performing echocardiography with quality comparable to that of experienced cardiologists. This PhD project
-
autonomous unmanned systems see growing deployment in real-world settings, swarms of these systems are becoming essential for accomplishing tasks that cannot be handled by a single robot. In challenging
-
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
-
actuation for soft continuum robots Sensing and tracking of minimally invasive robotic systems Autonomous control in uncertain anatomical environments Computer vision for image-guided robotic procedures (incl
-
need for reliable and autonomous offshore infrastructure inspection and surveillance. The project integrates unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), and unmanned underwater