Robotics controlMulti-robot systemsTechnology transfer

Control. Coordination. Robots in motion.

From feedback control and state estimation to trajectory generation and coordinated fleets—I help multidisciplinary teams turn ambitious robotic concepts into integrated, field-tested systems.

A coordinated LoadRunner fleet sorting parcels in the research hall.
High-dynamic multi-robot systemsProject archive
9+years in autonomous robotics
14featured robotics patent families
2flagship robot platforms
R → Fresearch to field validation

Selected systems / 01

Complex machines.
Clear contributions.

Both platforms were built by multidisciplinary teams. These case studies distinguish the collective achievement from my own technical contribution.

LoadRunner robots sorting parcels as a coordinated swarm in the research hall. 01
vmax10 m/s
Project archive

High-dynamic transport · Team-built platform

LoadRunner

A high-speed omnidirectional transport-robot system designed to combine the flexibility of mobile robots with the throughput of fixed sorting technology.

Team achievement
Integrated mechanics, electronics, localization, control, coordination, logistics processes, and experimental validation.
My contribution
Central contributions to control-system architecture across feedback control, state estimation, trajectory generation, and fleet orchestration.
ControlEstimationTrajectoriesFleet orchestration
Open project
evoBOT transporting an air-cargo package on an airport apron. 02
dynamic statebalanced
Project archive

Mobile manipulation · Team-built platform

evoBOT

A two-wheeled dynamically stable robot that combines agile locomotion and active load handling in a compact, modular platform.

Team achievement
Combined mechanics, electronics, sensing, actuation, control, learning-based methods, and manipulation in a functional high-dynamic prototype.
My contribution
Led the team through the first two years of core development, guiding technical priorities and integration while contributing directly to control-system work.
Dynamic stabilizationManipulationIntegrationTeam leadership
Open project
Panoramic view of the FLW cyber-physical research hall and its open test area. 03
tracking volume54 IR + 8 RGB
Project archive

Cyber-physical test field · TU Dortmund FLW

Drone swarm & MoCap

A large-scale indoor research environment for millimeter-precise tracking, coordinated autonomous drones, and repeatable validation of cyber-physical logistics systems.

Team achievement
Built a flexible test field combining motion capture, RGB sensing, projection, autonomous transport robots, and a self-organizing drone swarm.
My contribution
Contributed to commissioning the 50+ camera motion-capture system and to experiments with a coordinated swarm of up to twelve UAVs.
Motion captureUAV swarmLocalizationSystem commissioning
Open project

Systems approach / 02

Control is not an isolated module.

It is the connective architecture between physics, sensing, computation, and purposeful motion.

Integrated
robotic
system
01

Control & dynamics

Feedback control and stabilization for fast and inherently unstable systems.

02

State estimation

Connecting sensor observations to a reliable representation of motion.

03

Trajectories & fleets

Feasible motion, collision-aware coordination, and orchestration at scale.

04

Integration & validation

Bringing simulation, embedded systems, hardware, and experiments together.

05

Leadership & transfer

Technical direction from research question to team delivery and application.

From research to operation / 03

  1. 01ArchitectureDefine system boundaries and interfaces
  2. 02PrototypeTurn models into executable systems
  3. 03ValidateTest on real hardware and real dynamics
  4. 04ProtectCapture novel ideas as intellectual property
  5. 05TransferAdapt research for application

Research & intellectual property / 04

Research that becomes a system.

My ongoing doctoral research examines integrated control architectures for highly dynamic autonomous transport-robot swarms in logistics. Completion is expected in early 2027.

Doctoral research · in progress · expected early 2027Google Scholar

IEEE/RSJ IROS 2023 · First author

evoBOT — Design and Learning-Based Control of a Two-Wheeled Compound Inverted Pendulum Robot

Design and control of a dynamically stable mobile manipulation platform.

View DOI

Logistics Research · 2023

Micro UAV Swarm for Industrial Applications in Indoor Environment

A systematic literature review of coordinated aerial systems for industrial settings.

Patent portfolio / 05

Ideas engineered
into protected systems.

Patrick is a named inventor across 14 featured robotics patent families: thirteen associated with LoadRunner and one with evoBOT.

Explore all patent families
14featured robotics families
50documented territorial grants
8documented U.S. grants
12 + PCTdocumented jurisdictions and international route
01 / Dynamic control

Stabilizing loads at speed

Controlled directional changes, inertia-based transfer, anti-slip control, and dynamic cargo positioning.

DE 10 2019 122 052 B4
02 / Perception

Knowing precisely where motion happens

Image-based localization, optical inclination compensation, and relative vehicle detection.

DE 10 2020 214 002 B3
03 / Fleet intelligence

Coordinating the whole system

Efficient routing, infrastructure-reduced sorting, and emergency-critical peer-to-peer communication.

DE 10 2020 214 005 A1
04 / Mobile manipulation

Receiving and transferring loads

The evoBOT family covers devices and methods for receiving, transferring, and transporting load carriers.

DE 10 2022 202 045 B4

Experience / 06

Built around applied robotics.

Team Lead — High-Dynamic System Control

Fraunhofer Institute for Material Flow and Logistics IML · Dortmund

  • Lead control-systems research and development for high-dynamic autonomous robots.
  • Define technical work, guide contributors, and connect system integration to technology transfer.

Research Associate — Applied Robotics for Logistics

Fraunhofer IML · Dortmund

  • Applied research across autonomous transport, mobile manipulation, estimation, motion generation, and multi-robot operation.

Research Associate — Applied Robotics

TU Dortmund University · Chair of Material Handling and Warehousing

  • Helped establish the cyber-physical research facility and commission its 54-infrared- plus 8-RGB-camera tracking environment.
  • Contributed to coordinated indoor UAV experiments with a swarm of up to twelve drones.

Education

Doctoral research in high-dynamic autonomous roboticsIn progress · expected early 2027
M.Sc. Electrical Engineering & Information TechnologyTU Dortmund University · 2016
B.Sc. Electrical Engineering & Information TechnologyTU Dortmund University · 2013

Contact / 07

Let’s make
complex systems move.

Based in Dortmund, Germany. Open to research collaboration, technical exchange, and selected opportunities in advanced robotics.

patrick.klokowski@gmail.com