THE RESEARCHER
Postdoctoral Researcher · Robotics & AI · Luleå University of Technology
My research develops autonomy for aerial and ground robots in environments without GPS or reliable maps. The work spans planetary-analog experiments and deployments in active underground mines, and I care most about methods that hold up in the field.
Portrait
Research headshot to follow
to followPUBLICATIONS / YEAR
as of 6 Jul 2026
Publications per year: 2020: 1, 2021: 1, 2022: 3, 2023: 6, 2024: 6, 2025: 3.
A short selection that reflects the main thread of my work: real-time exploration planning, traversability, and scene understanding for robots operating underground. The full list follows.
ERRT is a fully integrated, ROS-based planner that combines local exploration, safe path planning, and actuation into a real-time sampling framework. Validated in simulation and in real subterranean field trials.
A two-layered graph framework for large-scale exploration that reuses local sub-graphs and adapts to dynamic scene changes, updating a global navigation graph in real time to plan around blocked paths.
Belief scene graphs expand partial 3D scenes by computing the expectation of unseen objects, letting robots reason about what is likely beyond their current field of view.
A two-layer exploration and planning framework for autonomous MAVs enabling fast, continuous navigation in GPS-denied, multi-branched cave systems, with NMPC-based control for real-world subterranean deployment.
A hierarchical graph-based framework for joint ground-aerial exploration using semantic traversability and a shared confidence metric, letting ground robots delegate unreachable regions to aerial counterparts in real subterranean missions.
SPADE builds an actionable, multi-domain 3D scene-graph representation that scales path planning across large, semantically rich environments.
EU RESEARCH PROGRAMS
Horizon Europe and Horizon 2020 projects that put drones and ground robots into active underground mines, with industry partners including LKAB and Epiroc.
Sharing this work with students at Luleå University of Technology.
Teaching on the Robotics course at Luleå University of Technology.
Supervising Master's thesis students working on autonomy, mapping, and field robotics.
Talks & reviewing
Invited talks, conference presentations, and journal / conference reviewing duties to follow
to followLuleå University of Technology · Luleå, Sweden · 2021 – Nov 2025
Robust algorithms for autonomous exploration and path planning in GPS-denied environments: UAVs and legged robots operating in subterranean and planetary-like settings. Combines motion planning, SLAM, and multi-resolution mapping with real-time decision-making under uncertainty, and deployable field-tested software frameworks. Defended November 2025.
Luleå University of Technology · Luleå, Sweden · 2018 – 2020
Multidisciplinary program across European partner universities, emphasizing solar-system exploration, space physics, orbital mechanics, and autonomous robotics. Thesis: design, modeling, and control of a coaxial quadrotor for the Martian environment.
UPES, Dehradun · Dehradun, India · 2014 – 2018
Focus on aerodynamics, propulsion, and control of aerial vehicles. Final-year project: design and simulation of a UAV for flight in Mars' thin atmosphere and reduced gravity.
If your work relates to autonomous exploration, GPS-denied navigation, or subterranean robotics, I'd be glad to hear from you.