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ARDDQN: Attention Recurrent Double Deep Q-Network for UAV Coverage Path Planning and Data Harvesting
Unmanned Aerial Vehicles (UAVs) have gained popularity in data harvesting (DH) and coverage path planning (CPP) to survey a given area efficiently and collect data from aerial perspectives, while data harvesting aims to gather information from variou
Externí odkaz:
http://arxiv.org/abs/2405.11013
We present a deep reinforcement learning-based framework for automatically discovering patterns available in any given initial configuration of fat robot swarms. In particular, we model the problem of collision-less gathering and mutual visibility in
Externí odkaz:
http://arxiv.org/abs/2209.09865
Publikováno v:
In Journal of Rail Transport Planning & Management June 2024 30
Autor:
Behera, Sourajit, Misra, Rajiv
Publikováno v:
In Engineering Applications of Artificial Intelligence March 2023 119