Peter Kling

About

Peter Kling is a theoretical computer scientist whose research sits at the intersection of distributed computing, swarm robotics, and algorithm design. He is best known for his foundational contributions to the theory of mobile robot coordination, particularly the analysis of gathering and formation problems in which large numbers of autonomous, resource-constrained robots must collectively accomplish spatial tasks without central coordination. Kling's most influential work — "A New Approach for Analyzing Convergence Algorithms for Mobile Robots" (2011, 54 citations) — introduced novel analytical frameworks for proving convergence in robot swarm protocols, a notoriously difficult theoretical challenge. Alongside this, his work on collisionless gathering (43 citations) and optimal runtime bounds for local gathering strategies (24 citations) established rigorous competitive analyses for continuous-time robot models with limited visibility. His contributions to chain-formation problems — where robots must efficiently maintain relay chains between distant stations — span both discrete and continuous settings, demonstrating his breadth across computational models. Through papers ranging from 2010 to 2020, Kling has progressively built a comprehensive theoretical foundation for swarm robotics protocols, earning over 180 cumulative citations. His work offers essential tools for students and researchers seeking to understand the algorithmic principles underlying multi-robot coordination and decentralized spatial computing.

Research Focus

Key Achievements

Top Papers

1. 1
   A New Approach for Analyzing Convergence Algorithms for Mobile Robots

   54 citations · 2011
2. 2
   Collisionless Gathering of Robots with an Extent

   43 citations · 2011
3. 3
   Optimal and competitive runtime bounds for continuous, local gathering of mobile robots

   24 citations · 2012
4. 4
   A Continuous, Local Strategy for Constructing a Short Chain of Mobile Robots

   21 citations · 2010
5. 5
   Convergence of local communication chain strategies via linear transformations

   16 citations · 2011
6. 6
   Linear and Competitive Strategies for Continuous Robot Formation Problems

   15 citations · 2015
7. 7
   Continuous Protocols for Swarm Robotics

   13 citations · 2019
8. 8
   A Discrete and Continuous Study of the Max-Chain-Formation Problem: Slow Down to Speed up

   3 citations · 2020

Key Collaborators

Contact & Links