Core challenges of social robot navigation: A survey
Robot navigation in crowded public spaces is a complex task that requires addressing a
variety of engineering and human factors challenges. These challenges have motivated a …
variety of engineering and human factors challenges. These challenges have motivated a …
Collision avoidance of multi unmanned aerial vehicles: A review
The control of a multiple unmanned aerial vehicle (UAV) system is popular and attracting a
lot of attentions. This is motivated by many practical civil and commercial UAV applications …
lot of attentions. This is motivated by many practical civil and commercial UAV applications …
Crowd-robot interaction: Crowd-aware robot navigation with attention-based deep reinforcement learning
Mobility in an effective and socially-compliant manner is an essential yet challenging task for
robots operating in crowded spaces. Recent works have shown the power of deep …
robots operating in crowded spaces. Recent works have shown the power of deep …
Distributed multi-robot collision avoidance via deep reinforcement learning for navigation in complex scenarios
Developing a safe and efficient collision-avoidance policy for multiple robots is challenging
in the decentralized scenarios where each robot generates its paths with limited observation …
in the decentralized scenarios where each robot generates its paths with limited observation …
Towards optimally decentralized multi-robot collision avoidance via deep reinforcement learning
Developing a safe and efficient collision avoidance policy for multiple robots is challenging
in the decentralized scenarios where each robot generates its paths without observing other …
in the decentralized scenarios where each robot generates its paths without observing other …
Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning
Finding feasible, collision-free paths for multiagent systems can be challenging, particularly
in non-communicating scenarios where each agent's intent (eg goal) is unobservable to the …
in non-communicating scenarios where each agent's intent (eg goal) is unobservable to the …
Collision avoidance in pedestrian-rich environments with deep reinforcement learning
Collision avoidance algorithms are essential for safe and efficient robot operation among
pedestrians. This work proposes using deep reinforcement (RL) learning as a framework to …
pedestrians. This work proposes using deep reinforcement (RL) learning as a framework to …
Algorithms for collision-free navigation of mobile robots in complex cluttered environments: a survey
We review a range of techniques related to navigation of unmanned vehicles through
unknown environments with obstacles, especially those that rigorously ensure collision …
unknown environments with obstacles, especially those that rigorously ensure collision …
Fast, on-line collision avoidance for dynamic vehicles using buffered voronoi cells
This letter presents a distributed collision avoidance algorithm for multiple dynamic vehicles
moving in arbitrary dimensions. In our algorithm, each robot continually computes its …
moving in arbitrary dimensions. In our algorithm, each robot continually computes its …
Reinforcement learned distributed multi-robot navigation with reciprocal velocity obstacle shaped rewards
The challenges to solving the collision avoidance problem lie in adaptively choosing optimal
robot velocities in complex scenarios full of interactive obstacles. In this letter, we propose a …
robot velocities in complex scenarios full of interactive obstacles. In this letter, we propose a …