相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios
Tingxiang Fan et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2020)
Gap Based Novel Approach for Safe and Fast Obstacle Avoidance for Autonomous Platforms
Eren Cakmak et al.
2020 IEEE 29TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) (2020)
DroNet: Learning to Fly by Driving
Antonio Loquercio et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2018)
Asymptotically optimal sampling-based kinodynamic planning
Yanbo Li et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2016)
Tangential Gap Flow (TGF) navigation: A new reactive obstacle avoidance approach for highly cluttered environments
Muhannad Mujahed et al.
ROBOTICS AND AUTONOMOUS SYSTEMS (2016)
A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots
Alessandro Giusti et al.
IEEE ROBOTICS AND AUTOMATION LETTERS (2016)
RRTX: Real-Time Motion Planning/Replanning for Environments with Unpredictable Obstacles
Michael Otte et al.
ALGORITHMIC FOUNDATIONS OF ROBOTICS XI (2015)
A novel obstacle avoidance algorithm: Follow the Gap Method
Volkan Sezer et al.
ROBOTICS AND AUTONOMOUS SYSTEMS (2012)
Sampling-based algorithms for optimal motion planning
Sertac Karaman et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2011)
Real-Time Motion Planning With Applications to Autonomous Urban Driving
Yoshiaki Kuwata et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2009)
Nearness diagram (ND) navigation: Collision avoidance in troublesome scenarios
J Minguez et al.
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION (2004)