1 citations · 1 across the 4 of their papers we have counts for
5 papers
An Adaptive Inspection Planning Approach Towards Routine Monitoring in Uncertain Environments
Vignesh Kottayam Viswanathan, Yifan Bai, Scott Fredriksson +3
In this work, we present a hierarchical framework designed to support robotic inspection under environment uncertainty. By leveraging a known environment model, existing methods pl…
Collaborative Task Assignment, Sequencing and Multi-agent Path-finding
Yifan Bai, Shruti Kotpalliwar, Christoforos Kanellakis +1
In this article, we address the problem of collaborative task assignment, sequencing, and multi-agent pathfinding (TSPF), where a team of agents must visit a set of task locations…
A Time-dependent Risk-aware distributed Multi-Agent Path Finder based on A*
S Nordström, Y Bai, B Lindqvist +1
Multi-Agent Path-Finding (MAPF) focuses on the collaborative planning of paths for multiple agents within shared spaces, aiming for collision-free navigation. Conventional planning…
Multi-Agent Path Finding Using Conflict-Based Search and Structural-Semantic Topometric Maps
Scott Fredriksson, Yifan Bai, Akshit Saradagi +1
As industries increasingly adopt large robotic fleets, there is a pressing need for computationally efficient, practical, and optimal conflict-free path planning for multiple robot…
SA-reCBS: Multi-robot task assignment with integrated reactive path generation
Yifan Bai, Christoforos Kanellakis, George Nikolakopoulos
In this paper, we study the multi-robot task assignment and path-finding problem (MRTAPF), where a number of agents are required to visit all given goal locations while avoiding co…