task-allocation

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

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

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

Multi-Agent Reinforcement Learning for UAV-USV Cooperative Task Allocation in Offshore Wind Farms

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

High-fidelity discrete event simulation for warehouse robotics

A research-grade Python implementation of decentralized multi-agent coordination using auction-based task allocation, designed for autonomous robotics and AI studies.

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.

Reference architecture for goal-based control of a robotic avatar fleet on Mars under interplanetary latency. Concept white paper + open discussion.

Edge AI Distributed Coordination System for Autonomous Warehouse Robots Decentralized fleet management featuring collision free path planning, real time 3D visualization, and benchmark proven task time reduction. Developed for the SIH26123 submission.

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.

Reproducible six-algorithm benchmark for communication-aware multi-robot task allocation, with objective-aware results, MATLAB figures, and simulation code.

Multi-Robot Multi-Task Allocation Simulations