Autonomous task allocation and stepwise rescheduling for dual-arm robot in an unstructured environment
K Hamasaki, AY Yasutomi, J Shimizu… - 2023 IEEE/SICE …, 2023 - ieeexplore.ieee.org
For multiple robots to perform tasks safely and efficiently in an unstructured environment, an
optimal schedule is pre-planned on the basis of constraints between the tasks. However, the …
optimal schedule is pre-planned on the basis of constraints between the tasks. However, the …
Optimal control techniques for heterogeneous UAV swarms
Heterogeneous Unmanned Aerial Vehicle (UAV) swarms offer unique opportunities for
solving multi-robot missions, but also introduce novel implementation challenges. In our …
solving multi-robot missions, but also introduce novel implementation challenges. In our …
Fitness-Based Hierarchical Reinforcement Learning for Multi-human-robot Task Allocation in Complex Terrain Conditions
H Wang, S Li, H Ji - Arabian Journal for Science and Engineering, 2023 - Springer
A fitness-based hierarchical reinforcement learning method is proposed in this study for
multi-human-robot task allocation in complex terrain conditions. Firstly, three fitness …
multi-human-robot task allocation in complex terrain conditions. Firstly, three fitness …
Application of Swarm Robotics in Supply Chain and Logistics
K Rakshith, NK Shreeraj, S Mohammed… - Shaping the Future of …, 2024 - igi-global.com
The advent of swarm robotics in supply chain and logistics marks a transformative shift in
how these critical industries operate. This chapter explores the integration of swarm robotics …
how these critical industries operate. This chapter explores the integration of swarm robotics …