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Geometric Model Predictive Path Integral for Agile UAV Control with Online Collision Avoidance
Autonomous Collision Avoidance
Image Processing Obstacle Avoidance 1
Bio-inspired Obstacle Avoidance for Flying Robots with Active Sensing
Collision Avoidance Algorithms Final Tests
Optic Flow Based Reactive Collision Prevention for MAVs Using the Fictitious Obstacle Hypothesis
sFly: Autonomous Obstacle Avoidance and Maneuvering on a Vision-Guided MAV Using On-Board Processing
Aggressive Collision Avoidance with Limited Field-of-View Sensing
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Last Updated: October 1, 2026
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Summary
Paper: ieeexplore.ieee.org/abstract/document/11417433 GitHub: github.com/ctu-mrs/gmppi This video overviews our ... Reference: Xiao, F., Zheng, P., Tria, J.d., Kocer, B.B., and Kovač, M., Optic Flow- To navigation on the complex environment, the Deep Reinforcement Learning can be attractive method better than classical ... The RoboSTOP system is designed to prevent unintended Monocular Vision - Supervised learning of texture features - Unstructured natural environments forests. In this video we present the Relaxed-constraint Triple Integrator Planner (R-TIP) which enables safe execution of ...
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