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In this paper, we give a double twist to the problem of Recently, neural control policies have outperformed existing model-based Code: Paper: Abstract: This paper presents PANTHER, ... Quadrotor navigation in unknown environments is critical for practical missions such as search-and-rescue. Solving this problem ... This work contributes a novel strategy for semantics- Presentation at 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) in Kyoto (Japan) about TAPE: ...
The video demonstrates fast autonomous flight experiments in cluttered unknown environments, with the support of a robust and ...
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Topology-Guided Path Planning for Reliable Visual Navigation of MAVs
ICRA'19: Uncertainty-Aware Path Planning for Navigation on Road Networks Using Augmented MDPs
PANTHER: Perception-Aware Trajectory Planner in Dynamic Environments
PA-MPPI: Perception-Aware MPPI Control for Quadrotor Navigation in Unknown Environments (RA-L'26)
Semantics-aware Exploration and Inspection Path Planning
IROS 2022 - TAPE: Tether-Aware Path Planning for Autonomous Exploration of Unknown Environments
Fisher Information Field: an Efficient and Differentiable Map for Perception-aware Planning
Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments
RAPTOR: Robust and perception-aware trajectory replanning for quadrotor fast flight
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Last Updated: June 10, 2026
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