World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
5549
World Ranking
13465
National Ranking
5385

Overview

Nikolaus Correll is affiliated with the University of Colorado Boulder in the United States. Their research focuses primarily on engineering, with significant contributions in biomedical engineering, control and systems engineering, and mechanical engineering. Additional interests include cognitive neuroscience and physiology.

The main topics of Correll's work cover a range of areas related to robotics and materials science. These topics include:

  • Soft Robotics and Applications
  • Advanced Sensor and Energy Harvesting Materials
  • Robot Manipulation and Learning
  • Dielectric materials and actuators
  • Tactile and Sensory Interactions
  • Teleoperation and Haptic Systems
  • Modular Robots and Swarm Intelligence

Correll has collaborated frequently with several researchers, including:

  • Khoi Ly
  • Mark E. Rentschler
  • Vani Sundaram
  • Brian K. Johnson
  • Mantas Naris

Their recent publications include the following papers:

  • A multifunctional soft robotic shape display with high-speed actuation, sensing, and control (2023), Nature Communications
  • Identification and Control of a Nonlinear Soft Actuator and Sensor System (2020), IEEE Robotics and Automation Letters
  • Electro-Hydraulic Rolling Soft Wheel: Design, Hybrid Dynamic Modeling, and Model Predictive Control (2022), IEEE Transactions on Robotics
  • Mobile Manipulation Hackathon: Moving into Real World Applications (2021), IEEE Robotics & Automation Magazine
  • Embedded Magnetic Sensing for Feedback Control of Soft HASEL Actuators (2022), IEEE Transactions on Robotics

Correll's work has often been published in the following venues:

  • arXiv (Cornell University)
  • IEEE Robotics & Automation Magazine
  • IEEE Transactions on Robotics
  • Springer proceedings in advanced robotics
  • Nature Communications

Best Publications

  • Materials that couple sensing, actuation, computation, and communication

    M. A. McEvoy;N. Correll

  • Social Integration of Robots into Groups of Cockroaches to Control Self-Organized Choices

    José Halloy;Grégory Sempo;Gilles Caprari;Colette Rivault

  • Analysis and Observations From the First Amazon Picking Challenge

    Nikolaus Correll;Kostas E. Bekris;Dmitry Berenson;Oliver Brock

  • Reducing the Barrier to Entry of Complex Robotic Software: a MoveIt! Case Study

    David Coleman;Ioan Alexandru Sucan;Sachin Chitta;Nikolaus Correll

  • SwisTrack - a flexible open source tracking software for multi-agent systems

    T. Lochmatter;P. Roduit;C. Cianci;N. Correll

  • Organizing the Aggregate: Languages for Spatial Computing

    Jacob Beal;Stefan Dulman;Kyle Usbeck;Mirko Viroli

  • Soft Autonomous Materials—Using Active Elasticity and Embedded Distributed Computation

    Nikolaus Correll;Çağdaş D. Önal;Haiyi Liang;Erik Schoenfeld

  • A soft pneumatic actuator that can sense grasp and touch

    Nicholas Farrow;Nikolaus Correll

  • C-FOREST: Parallel Shortest Path Planning With Superlinear Speedup

    M. Otte;N. Correll

  • Thermoplastic variable stiffness composites with embedded, networked sensing, actuation, and control

    M Andy McEvoy;Nikolaus Correll

  • Modeling and designing self-organized aggregation in a swarm of miniature robots

    Nikolaus Correll;Alcherio Martinoli

  • Collective Inspection of Regular Structures using a Swarm of Miniature Robots

    Nikolaus Correll;Alcherio Martinoli

  • SwisTrack: A Tracking Tool for Multi-Unit Robotic and Biological Systems

    Nikolaus Correll;G. Sempo;Y. De Meneses;J. Halloy

  • Multirobot inspection of industrial machinery

    N. Correll;A. Martinoli

  • Experience-based planning with sparse roadmap spanners

    David Coleman;Ioan A. Sucan;Mark Moll;Kei Okada

  • Collaborative coverage using a swarm of networked miniature robots

    Samuel Rutishauser;Nikolaus Correll;Alcherio Martinoli

  • Lessons from the Amazon Picking Challenge.

    Nikolaus Correll;Kostas E. Bekris;Dmitry Berenson;Oliver Brock

  • A Robotic Skin for Collision Avoidance and Affective Touch Recognition

    Dana Hughes;John Lammie;Nikolaus Correll

  • Multi-level spatial modeling for stochastic distributed robotic systems

    Amanda Prorok;Nikolaus Correll;Alcherio Martinoli

  • A One-Year Introductory Robotics Curriculum for Computer Science Upperclassmen

    N. Correll;R. Wing;D. Coleman

  • Distributed Machine Learning in Materials that Couple Sensing, Actuation, Computation and Communication

    Dana Hughes;Nikolaus Correll

  • C-FOREST: parallel shortest-path planning with super linear speedup

    Michael Otte;Nikolaus Correll

Frequent Co-Authors

Alcherio Martinoli
Alcherio Martinoli École Polytechnique Fédérale de Lausanne
Richard Han
Richard Han Macquarie University
Kei Okada
Kei Okada University of Tokyo
Kostas E. Bekris
Kostas E. Bekris Rutgers, The State University of New Jersey
Kris Hauser
Kris Hauser Duke University
Oliver Brock
Oliver Brock Technical University of Berlin
Mac Schwager
Mac Schwager Stanford University
Kristofer S. J. Pister
Kristofer S. J. Pister University of California, Berkeley

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you're exploring degrees related to Computer Science in the USA, there are multiple online options and career paths to consider. Online education can give you added flexibility—especially if you need to balance your studies with work or other responsibilities.

For those concerned about GPA requirements, it's possible to find online schools that accept low gpa. This can help open doors to higher education even if your academic history isn't perfect.

Many career pathways intersect with computer science. For example, environmental science and engineering have huge demand for tech-savvy graduates. Wondering what jobs can you get with an environmental science degree? Major options range from research and consulting to policy analysis and fieldwork.

If you're eager to start your career sooner, look for a 1 year computer science degree online. These accelerated programs allow for a quicker transition into tech roles.

Budget is another big concern. If you're interested in environmental fields, consider the cheapest online environmental science degree options. Balancing affordability, flexibility, and career goals helps ensure long-term success.

Best Scientists Citing Nikolaus Correll

Trending Scientists

Recently Published Articles