KAMPUS26: Study Plan for Autonomous Robotic Systems 2025-2026

Overview

KAMPUS26 is a private "study in public" and research project that aims to learn about and share knowledge and insights about recent advances in decentralized robotics and swarm intelligence. The project is not affiliated with any organization or institution, but is inspired by the Distributed Autonomous Robotic Systems (DARS) Symposium series, which is a biennial forum for scientific exchange and technical communication on the latest advances in distributed robotics.

This self-study plan has two tracks: One will roughly follow the synopsis of papers presented at the 2023 DARS symposium and will involve reading and summarizing papers, writing blog posts and creating other materials that may be useful to the community, while the other will be more focused on implementing genetic algorithms in Elixir and using them to solve real-world problems.

The project will be conducted in the open, and all materials will be shared on GitHub.

Track 1 : Genetic Algorithms using Elixir

1. Writing Your First Genetic Algorithm
2. Breaking Down Genetic Algorithms
3. Encoding Problems and Solutions
4. Evaluating Solutions and Populations
5. Selecting the Best
6. Generating new solutions
7. Preventing Premature Convergence
8. Replacing and Transitioning
9. Tracking Genetic Algorithms
10. Visualizing the Results
11. Optimizing Your Algorithm
12. Writing Tests and Code Quality
13. Moving Forward

Track 2: Multi-Robot Systems and Robotic Swarms

1. Generating Goal Configurations for Scalable Shape Formation in Robotic Swarms
2. Leading a Swarm with Signals
3. Byzantine Fault Tolerant Consensus for Lifelong and online Multi-Robot Pickup and Delivery
4. Decentralized Multi-Robot Path Planning in Dynamic 3D Environments
5. Optimized Direction Assignment in Road Maps for Multi-AVG Systems based on Transportation Flows
6. Datom: A Deformable Modular Robot for Building Self-reconfigurable Programmable Matter
7. The Impact of Network Connectivity on Collective Learning
8. On the Communication Requirements of Decentralized Connectivity Control: A Field Experiment
9. Behavioral Simulations of Lattice Modular Robots with VisibleSim
10. Evolving Robust Supervisors in Uncertain Complex Environments
11. Distributed Cooperative Localization with Efficient Pairwise Range Measurements
12. Robust Localization for Multi-Robot Formations: An Experimental Evaluation of an Extended GM-PHD Filter
13. Opportunistic Multi-Robot Environmental Sampling via Decentralized Markov Decision Processes
14. A PHD Filter based Localization System for Robotic Swarms
15. Online Onboard Evolution of Manipulation Behaviors for a Multi-robot System
16. Multi-Agent Reinforcement Learning and Individuality Analysis for Cooperative Transportation with Object Removal
17. Battery Variability Management for Swarms
18. Spectral-based Distributed Ergodic Coverage for Heterogeneous Multi-Agent Search
19. Multi-Agent Deception in Attack-Defense Stochastic Games
20. Traceable Planning for Coordinated Story Capture: Sequential Stochastic Decoupling
21. Errors in Collective Robotic Construction
22. Optimal Multi-Robot Perimeter Defense using Flow Networks
23. Classification-Aware Path Planning of Network of Robots
24. Monitoring and Mapping of Crop Fields with UAV Swarms based on Information Gain
25. A Discrete Model of Collective Marching on Rings
26. Map Learning via Adaptive Region-based Sampling in Multi-Robot Systems
27. Collective Transport via Sequential Caging
28. ReactiveBuild: Environment-Adaptive Self-Assembly of Amorphous Structures
29. Processes for a Colony Solving the Best-of-N Problem using a Bipartite Graph Representation
30. Decentralized Navigation in 3D Space of a Robotic Swarm with Heterogeneous Abilities
31. Using Reinforcement Learning to Herd a Robotic Swarm to a Target Distribution
32. Preservation of Giant Component Size After Robot Failure for Robustness of Multi-Robot Networks
33. Swarm Localization Through Cooperative Landmark Identification