About me
I am a PhD candidate in the Department of Engineering Cybernetics at the Norwegian University of Science and Technology (NTNU), where I am advised by Prof. Kostas Alexis in the Autonomous Robots Lab. I am co-advised by Prof. Eleni Kelasidi and Prof. Margarita Chli. My research lies at the intersection of robot perception, state estimation, and long-term autonomy, with a focus on enabling robots to operate reliably in environments where conventional vision-based methods fail.
During my PhD, I have developed resilient perception and state-estimation methods for underwater robots, spanning refractive visual-inertial odometry, learning-based proprioception, and long-term navigation under severe visual degradation and complete visual blackout. Looking ahead, I aim to bridge resilient perception with scene reasoning and foundation models, starting by tackling the data gap, to enable autonomous systems that can understand, reason about, and interact with complex marine environments.
While underwater robotics is my primary research platform, I am broadly interested in robust perception for autonomous systems operating in extreme environments. This has also led me to work on vision-based lunar navigation during a research visit to NASA's Jet Propulsion Laboratory. My long-term vision is to develop resilient robotic systems that perceive, reason, and operate autonomously where existing robotic systems remain fundamentally limited.
Recent
News & Updates
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2026
Co-organizing and presenting at RSS 2026 workshop on “Mapping the Reef: Underwater 3D Reconstruction for Coral Ecosystems”, Sydney, Australia.
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2026
BEVIO (Bird’s-Eye-View sparse-update VIO for lunar day–night navigation) accepted and presented at IEEE ICRA 2026, Vienna, Austria.
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2026
RadVIO (tightly-coupled radar-visual-inertial odometry) accepted at the European Control Conference (ECC) 2026.
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2026
Awarded the Qualification Grant from the Research Council of Norway to commercialize Bionic Neuromast Inertial Odometry (patent pending).
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2025
Summer at NASA JPL / Caltech (JVSRP) developing vision-based odometry for lunar navigation; presented my research at the Vision AI Seminar, at NASA JPL.
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2025
Received Best Contributed Talk at the IEEE ICRA 2025 Amphibious Robotics Workshop.
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2025
DeepVL: Deep Velocity Learning accepted and presented at the IEEE ICRA 2025, Atlanta, USA.
What I work on
Research Highlights

BEVIO — Lunar Day–Night Navigation
Bird’s-Eye-View, sparse-update visual-inertial odometry for fast vision-based lunar rovers, developed at NASA JPL — maintaining tracking at frame rates well below conventional baselines. ICRA 2026.

Bionic Neuromast Inertial Odometry
A passive, bio-inspired sensor and framework for blind underwater navigation over 300 m with errors below 1% — patent pending, backed by a Research Council of Norway grant.
Selected work
Publications





BEVIO: Efficient Bird’s-Eye-View-based Sparse-Update Visual-Inertial Odometry for Lunar Day-Night NavigationAccepted
IEEE ICRA 2026, Vienna, Austria


Bionic Neuromast Inertial OdometryUnder review
Under review at Nature Portfolio Journal, Robotics · Patent pending (EP 26387035.4)

pip install tartanair: A Dataset to Push the General Robot PerceptionUnder review
Under review at Nature Scientific Data
Full list available on Google Scholar →
Open data
Released Datasets
Multi-Camera Underwater Visual-Inertial Dataset
Synchronized multi-camera and inertial data for underwater visual-inertial odometry and perception research.
DeepVL Proprioception Training Data
Dynamics and inertial measurement data used to train DeepVL for deep velocity learning and underwater proprioception.
Invited & contributed
Talks & Presentations
Resilient vision-driven underwater autonomy· Invited
Advancing Underwater Autonomy with Resilient Perception
Visual-Inertial Navigation for Amphibious Systems
Resilient, Exclusively Vision-Driven Underwater Autonomy · Invited
Recognition
Awards, Grants & Patents
Qualification Grant — Research Council of Norway
$50,000 to commercialize Bionic Neuromast Inertial Odometry (European Patent Application No. 26387035.4).
BNIO: Bionic Neuromast Inertial Odometry
Passive, bio-inspired long-term underwater state estimation — blind navigation over 300 m with errors below 1%.
Best Contributed Talk — ICRA 2025
Amphibious Robotics Workshop, for refraction-aware vision-based perception and autonomy across air and water.
Finalist — IROS 2021 Best Paper (Mechanism & Design)
Multi-body simulation and flywheel stability mechanism for a spherical robot.
First Place — 11th International MAV Competition, Madrid
Aerial robot framework for autonomous warehouse inventory management; competed against 14 international teams.
Silver — DRDO Vision-Based Obstacle Avoidance Drone Event
9th Inter-IIT Tech Meet: graph-based exploration planner for narrow, high-clutter passages.
Mentorship
Teaching & Supervision
Master’s Student Supervision — NTNU 2024–Present
IEEE Robotix Winter Workshop — IIT Kharagpur 2018
Technology Robotix Society CV Workshop — IIT Kharagpur 2018
Get in touch
Let’s talk robotics.
I’m always happy to discuss underwater & field robotics, perception, collaborations, or research opportunities.
Trondheim, Norway