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RAICAM aims to train a cohort of 10 PhD students to work on the next generation of mobile robots for inspection and maintenance of industrial facilities. RAICAM will develop a multi-domain, multi-agent robotic sample retrieval system that will be able to obtain surface swabbing samples of critical infrastructure buildings for chemical or biological analysis.

This is an exciting opportunity to do a PhD in Robotics and AI on an important topic in a well-funded multi-disciplinary international training network. We are looking for 10 excellent students to work together as a multi-disciplinary cohort across 10 universities in Europe. The partners have prepared an extensive training programme for the students. Training will be delivered by all partners, so there is ample opportunity to travel to partner sites, discuss interesting research with like-minded peers, and boost your career by creating your international network. There are also extensive secondment opportunities with our wide range of industry partners. If you are interested in doing your PhD with RAICAM, please get in touch.

Training

Consortium

Job Position Offers

Whole-Body Motion Control for Sampling in Confined Spaces

Online Planning for Bimannual Mobile Manipulation

Advanced Manipulation Using Flapping-Wing Aerial Robots

Modular Multi-Legged Robotic Sampling

Long-Term Vision-Based Navigation

Semi-Autonomous Mechanical Search

Heterogeneous Multi-Robot Active Perception for Planning and Coordinated Sample Retrieval

User-Centred Design for a Unified Teleoperation Interface for ISMR Robots

Shared-Autonomy for Goal Detection and Loco-Manipulation Control of Mobile Manipulators

Performance, Trust, Workload, and Social Processes in a Human-Robot Collaborative Task

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