JK Verma, V Ranga - Journal of intelligent & robotic systems, 2021 - Springer
Abstract Recently, Multi-Robot Systems (MRS) have attained considerable recognition because of their efficiency and applicability in different types of real-life applications. This …
Abstract Multi-Agent Path Finding (MAPF) is the problem of planning collision-free paths for multiple agents in a shared environment. In this paper, we propose a novel algorithm MAPF …
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 …
Prospective customers are becoming more concerned about safety and comfort as the automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation …
In this paper, we present a method, namely€ CCA, for collision avoidance in dynamic environments among interacting agents, such as other robots or humans. Given a preferred …
O Salzman, R Stern - Proceedings of the 19th International Conference …, 2020 - ifaamas.org
Recent years have shown a large increase in applications and research of problems that include moving a fleet of physical robots. One particular application that is currently a multi …
J Li, M Ran, L Xie - IEEE Robotics and Automation Letters, 2020 - ieeexplore.ieee.org
In this letter, we present a novel approach to efficiently generate collision-free optimal trajectories for multiple non-holonomic mobile robots in obstacle-rich environments. Our …
A cooperative game theory framework is proposed to solve multi-robot task allocation (MRTA) problems. In particular, a cooperative game is built to assess the performance of …
We present Neural-Swarm2, a learning-based method for motion planning and control that allows heterogeneous multirotors in a swarm to safely fly in close proximity. Such operation …