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Collision Avoidance for Aerial Vehicles in Multi-Agent Scenarios
UAV swarm with Reinforcement Learning
90 degree Collision (Cooperative Case)-Consensus-Based Collision Avoidance for UAVs
Deep Reinforcement Learning Based Collision Avoidance in UAV Environment
[AIIA 2021] Collision Avoidance on Unmanned Aerial Vehicles using Deep Neural Networks
Uncertainty-Aware Reinforcement Learning For UAV Collision Avoidance
Collision avoidance of unmanned ground vehicle using deep reinforcement learning
Decentralized Multi-agent Collision Avoidance with Deep Reinforcement Learning
RVC-NMPC: NMPC with Reciprocal Velocity Constraints for Mutual Collision Avoidance of Agile UAVs
Collision Avoidance for Indoor Service Robots through Multimodal Deep Reinforcement Learning
Collision Avoidance Using Reinforcement Learning: An Implementation
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Last Updated: September 29, 2026
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Implement a module, based on Deep Consensus-based algorithms have emerged as a powerful approach for controlling Academy Winner / Dário Pedro Conceptual framework focused on unmanned and autonomous aerial vehicles, for the This is a video attachment for manuscript: arxiv.org/abs/2512.08574 RVC-NMPC: Nonlinear Model Predictive Control Abstract. In this paper, we propose an end-to-end approach to endowindoor service robots Implementation of the paper "Towards Optimally Decentralized Multi-Robot
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