Christoforos Kanellakis
Associate Professor
Research subject: Robotics and Artificial Intelligence
Division: Signals and Systems
Department of Computer Science, Electrical and Space Engineering
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Luleå, A2555
About me
I began my academic journey by earning a Diploma in Electrical and Computer Engineering from the University of Patras, Greece. My passion for discovery led me to pursue doctoral studies in the Automatic Control group at LTU, under the guidance of Prof. George Nikolakopoulos and with valuable mentorship from Prof. Thomas Gustafsson and Dr. Ali Agha. During my PhD, I had the distinct opportunity to serve as a research visitor and JPL affiliate at the Jet Propulsion Laboratory and Caltech. Under the joint supervision of Dr. Ali Agha and Prof. Joel Burdick, I engaged in research paralleling early postdoctoral work within the framework of the DARPA Subterranean Challenge.
A defining milestone in my career was active participation in the DARPA Subterranean Challenge (2018–2021). As a member of the COSTAR team, coordinated by JPL in collaboration with academic partners such as Caltech, MIT, and KAIST, I contributed to, and was inspired by, the rapid advancement of innovative robotic solutions on a global stage.
Today, I serve as an Associate Professor in the Robotics and AI group at LTU. My research focuses on advancing context-aware perception for robotics, spanning a broad range of topics including scene representation, contextual understanding, vision-assisted guidance, task allocation, traversability analysis, integrated sensing for field deployments, and multi-agent systems.
Project participation:
Past
- Collaborative Aerial Robotic Workers (AEROWORKS)
- Sustainable Intelligent Mining Systems (SIMS)
- DARPA Subterranean Challenge (Team COSTAR)
- Collaborative Robotic Solutions for development of sustainable micro, SME and large scale industries (RoboSol)
- Bright concepts for a safe & sustainable digital mining future (illuMINEation)
- Next generation carbon neutral pilors for smart intelligent mining systems (NEXGEN-SIMS)
- LKAB funded Sustainable Underground Mining (SUM Academic)
- Forage management optimization based on robotics and artificial intelligence
Ongoing
- Multi-scale, Multi-sensor Mapping and dynamic Monitoring for sustainable extraction and safe closure in Mining environments (M4mining)
- Upcycling mineral and timber-based waste from construction & manufacturing process industries through eco-design, advanced logistics, quality control and digital solutions (CIRCULess)
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