RRT*-AR: Sampling-based alternate routes planning with applications to autonomous emergency landing of a helicopter
PulseAugur coverage of RRT*-AR: Sampling-based alternate routes planning with applications to autonomous emergency landing of a helicopter — every cluster mentioning RRT*-AR: Sampling-based alternate routes planning with applications to autonomous emergency landing of a helicopter across labs, papers, and developer communities, ranked by signal.
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New RRT* framework plans robotic missions with budget constraints
Researchers have developed Reward-Guided RRT*, a novel framework for robotic missions that jointly selects rewarding locations and plans feasible motions within budget constraints. This method incrementally builds a mis…
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New Zonal RL-RRT algorithm boosts path-planning efficiency
Researchers have developed a new path-planning algorithm called Zonal RL-RRT, which significantly improves efficiency and success rates in complex environments. This algorithm partitions maps into zones using a k-d tree…
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DRL system enables end-to-end motion planning for underwater vehicles
Researchers have developed an end-to-end deep reinforcement learning system for autonomous underwater vehicles (AUVs) that maps raw sensor data directly to thruster commands. This hierarchical approach splits the task i…
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AI-guided algorithms enhance robotic navigation with shorter, smoother paths
Researchers have developed new AI-guided sampling algorithms for robotic navigation that significantly improve path quality and efficiency. These methods, including Neural RRT* and Neural Informed RRT*, produce shorter …