ICRA2020 Pitch Video: Motion Primitives-based Path Planning for Fast and Agile Exploration @autonomousrobotslab
ICRA2020 Pitch Video: Motion Primitives-based Path Planning for Fast and Agile Exploration  @autonomousrobotslab
Uploaded May 2020 | Updated September 2026, 3 weeks ago
Abstract: This paper presents a novel path planning strategy for fast and agile exploration using aerial robots. Tailored to the combined need for large-scale exploration of challenging and confined environments, despite the limited endurance of micro aerial vehicles, the proposed planner employs motion primitives to identify admissible paths that search the configuration space, while exploiting the dynamic flight properties of small aerial robots. Utilizing a computationally efficient volumetric representation of the environment, the planner provides fast collision-free and future-safe paths that maximize the expected exploration gain and ensure continuous fast navigation through the unknown environment. The new method is field-verified in a set of deployments relating to subterranean exploration and specifically, in both modern and abandoned underground mines in Northern Nevada utilizing a 0.55m-wide collision-tolerant flying robot exploring with a speed of up to 2m/s} and navigating sections with width as small as 0.8m.
ICRA2020 Pitch Video: Motion Primitives-based Path Planning for Fast and Agile ExplorationAutonomous Distributed Radiation Field Characterization and Informative Planning: Experiment #1Visual-Thermal Landmarks and Inertial Fusion for Navigation in Degraded Visual EnvironmentsRelationship-Aware Hierarchical 3D Scene Graph for Task ReasoningARL | Open-Source Contributions 2023ICRA2021: Forceful Aerial Manipulation Based on an Aerial Robotic Chain:Hybrid Modeling & ControlPreliminary results on Aerial Robotic Radiation DetectionMotion Primitives-based Path Planning for Path Planning for Agile Subterranean ExplorationProbabilistic Degeneracy Detection for Point-to-Plane Error MinimizationGBPlanner2: Graph-Based exploration path Planner 2.0 - How it WorksVisual-inertial odometry-enhanced geometrically stable ICPASLquad Aerial Writer Demonstration
Kostas Alexis |

ICRA2020 Pitch Video: Motion Primitives-based Path Planning for Fast and Agile Exploration

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