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

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.

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+**

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.

AI Explainability Service for Task Allocation Models, specially focused on the aeriOS High-Level Orchestrator (HLO) models