A simulation system based on ROS and Gazebo which is specially built for multi-robot task allocation (exploration and destruction problem)

This is a Python implementation of CBBA (Consensus-Based Bundle Algorithm).

Stochastic Conflict-Based Allocation

Implementation of Consensus Based Bundle Algorithm (CBBA) with python

Recursive task allocation approach to foraging in swarm robotics. ARGoS and ROS.

[EAAI] A two-stage reinforcement learning-based approach for multi-entity task allocation.

multi agent path finding and pickup and delivery (combined task allocation and path finding). work going on precendence constrained task allocation and path finding (PC-TAPF)

Task Allocation Strategy to distribute goals in a fleet considering, goals makespan, goals position, robot capabilities and redundancy in the sensory system.

Animal behavior based on agents simulation

RLQ: Workload Allocation With Reinforcement Learning in Distributed Queues

Multi-Robot Multi-Task Allocation Simulations

A risk-aware framework for Task Allocation among Stochastic Multi-Agent Systems

This project optimizes task allocation in Fog and Cloud Computing environments using multi-objective optimization techniques. It computes and analyzes Pareto fronts using MOCS and MOFA algorithms. The project includes Jupyter notebooks for data preparation, Pareto front calculation, and solution analysis.

Simulation demo: coordinating a small fleet of UAVs to suppress fires on upper floors of a 130-floor building (facade operations only). **Goal:** a clean, auditable baseline for planning, allocation, safety logic, and simple performance metrics. **Python 3.10+**

Macro-based scheduling program built in VBA and implemented in Microsoft Excel. Designed for corporate back-office operations to efficiently allocate personnel, plan recurring tasks, and balance workloads across large teams.