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20232026
most citedRMS: Redundancy-Minimizing Point Cloud Sampling for Real-Time Pose Estimation

12 citations · 20 across the 36 of their papers we have counts for

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cs.RO2026

Sensor-Layout-Agnostic Navigation via Geometric Observation Canonicalization

Welf Rehberg, Kostas Alexis

Existing visual navigation policies are inherently bound to fixed camera configurations, creating a fundamental barrier to zero-shot deployment across heterogeneous robot sensor la…

cs.CV2026

TRACKGRAPH: Online Open-Vocabulary 3D Scene Graphs via Image-Space Tracking

Peder Borge Hellesylt, Albert Gassol Puigjaner, Kostas Alexis +1

Open-vocabulary 3D maps enable robots to reason about previously unknown environments using natural language. However, existing systems typically segment every incoming image, asso…

cs.RO2026

Hierarchical Floorplan-Guided Vision-Language Exploration for Embodied Question Answering

Albert Gassol Puigjaner, Kostas Alexis

Embodied Question Answering (EQA) requires an agent to explore a previously unseen environment, gather relevant information, and answer questions about the scene. Recent approaches…

cs.RO2026

Design and Attitude Control of an Underwater Quadruped Robot

Davide Molinaroli, Mohit Singh, Kostas Alexis

Legged robots are versatile on land, but their use in underwater environments remains limited. Extending quadruped locomotion to water enables amphibious mobility with applications…

cs.GR2026

IBPA: Real-time Free-form Manifold Mesh Reconstruction via Incremental Ball Pivoting with Integrated Hole Detection

Mauhing Yip, Mohit Singh, Kostas Alexis +2

Both Remotely Operated underwater Vehicles (ROVs) and Autonomous Underwater Vehicles (AUVs) are frequently deployed to acquire geometric bathymetric data. However, it is often disc…

cs.RO2026

Embodiment-conditioned Generalist Control for Multirotor Aerial Robots

Orestis Konstantaropoulos, Welf Rehberg, Mihir Kulkarni +1

We present a generalist position control policy capable of controlling arbitrary multirotor configurations of a certain rotor count (e.g., hexarotors or quadrotors) with a single s…

cs.RO2026

Generalization of World Models under Environmental Variability for Vision-based Quadrotor Navigation

Luca Zanatta, Grzegorz Malczyk, Kostas Alexis

World models, learned generative models that predict how an environment evolves, have become a promising tool for sample-efficient robot learning. Yet how robust they are to enviro…

cs.RO2026

Towards Low-Gravity Planetary Exploration using Reinforcement Learning for Walking, Jumping, and In-flight Attitude Control

Jørgen Anker Olsen, Kostas Alexis

This paper presents reinforcement learning (RL) policies for dynamic quadrupedal locomotion in planetary exploration scenarios. Building on a taskoptimized quadruped with a 5-bar l…

cs.RO2026

OmniPlanner: Universal Exploration and Inspection Path Planning Across Robot Morphologies

Angelos Zacharia, Mihir Dharmadhikari, Mohit Singh +1

Autonomous robotic systems are increasingly deployed for mapping, monitoring, and inspection in complex and unstructured environments. However, most existing path planning approach…

cs.RO2026

Efficient Knowledge Transfer for Jump-Starting Control Policy Learning of Multirotors through Physics-Aware Neural Architectures

Welf Rehberg, Mihir Kulkarni, Philipp Weiss +1

Efficiently training control policies for robots is a major challenge that can greatly benefit from utilizing knowledge gained from training similar systems through cross-embodimen…

cs.RO2026

Relationship-Aware Hierarchical 3D Scene Graph for Task Reasoning

Albert Gassol Puigjaner, Angelos Zacharia, Kostas Alexis

Representing and understanding 3D environments in a structured manner is crucial for autonomous agents to navigate and reason about their surroundings. While traditional Simultaneo…

cs.RO2026

Reinforcement Learning for Active Perception in Autonomous Navigation

Grzegorz Malczyk, Mihir Kulkarni, Kostas Alexis

This paper addresses the challenge of active perception within autonomous navigation in complex, unknown environments. Revisiting the foundational principles of active perception,…