World's Best Scientists 2026 revealed!
Steven M. LaValle

Steven M. LaValle

D-Index & Metrics

Computer Science

D-Index
63
Citations
40811
World Ranking
2672
National Ranking
17

Overview

Steven M. LaValle is affiliated with the University of Oulu in Finland and has a research portfolio spanning computer science and engineering. Their work covers diverse topics primarily in virtual reality applications, robotic algorithms, and computational theory.

Their research fields include:

  • Computer Science
  • Engineering

Key subfields of study encompass:

  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Cognitive Neuroscience
  • Mechanical Engineering
  • Computational Theory and Mathematics

Main topics of research addressed are:

  • Virtual Reality Applications and Impacts
  • Robotic Path Planning Algorithms
  • Modular Robots and Swarm Intelligence
  • Computability, Logic, AI Algorithms
  • Advanced Optical Imaging Technologies
  • Visual Attention and Saliency Detection
  • Visual perception and processing mechanisms

Recent papers authored or co-authored by Steven M. LaValle include:

  • "Can Simulated Nature Support Mental Health? Comparing Short, Single-Doses of 360-Degree Nature Videos in Virtual Reality With the Outdoors" (2020, Frontiers in Psychology)
  • "Virtual Reality Sickness Reduces Attention During Immersive Experiences" (2023, IEEE Transactions on Visualization and Computer Graphics)
  • "A visibility-based approach to computing non-deterministic bouncing strategies" (2021, The International Journal of Robotics Research)
  • "Augmenting Immersive Telepresence Experience with a Virtual Body" (2022, IEEE Transactions on Visualization and Computer Graphics)
  • "Unwinding Rotations Improves User Comfort with Immersive Telepresence Robots" (2022, 2022 17th ACM/IEEE International Conference on Human-Robot Interaction)

Steven M. LaValle has collaborated frequently with several researchers, including:

  • Katherine J. Mimnaugh
  • Başak Sakçak
  • Timo Ojala
  • Markku Suomalainen
  • Alexis P. Chambers

The scholar has contributed publications to notable venues such as:

  • arXiv (Cornell University)
  • Frontiers in Virtual Reality
  • IEEE Transactions on Visualization and Computer Graphics
  • The International Journal of Robotics Research
  • 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

In addition to journal and conference papers, Steven M. LaValle has authored books published by:

  • Cambridge University Press: Virtual Reality (2023)
  • Springer International Publishing: Algorithmic Foundations of Robotics XIV (2021)

Best Publications

  • Planning Algorithms

    Steven M. LaValle

  • Randomized kinodynamic planning

    Steven M. LaValle;James J. Kuffner

  • Rapidly-exploring random trees : a new tool for path planning

    S. Lavalle

  • RRT-connect: An efficient approach to single-query path planning

    J.J. Kuffner;S.M. LaValle

  • Planning algorithms

    Unknown

  • Optimal motion planning for multiple robots having independent goals

    S.M. LaValle;S.A. Hutchinson

  • On the Relationship between Classical Grid Search and Probabilistic Roadmaps

    Steven M. LaValle;Michael S. Branicky;Stephen R. Lindemann

  • Structure and intractability of optimal multi-robot path planning on graphs

    Jingjin Yu;Steven M. LaValle

  • A visibility-based pursuit-evasion problem

    Leonidas J. Guibas;Jean Claude Latombe;Steven M. Lavalle;David Lin

  • Can Simulated Nature Support Mental Health? Comparing Short, Single-Doses of 360-Degree Nature Videos in Virtual Reality With the Outdoors.

    Matthew H.E.M. Browning;Katherine J. Mimnaugh;Katherine J. Mimnaugh;Carena J. van Riper;Heidemarie K. Laurent

  • Dynamic-Domain RRTs: Efficient Exploration by Controlling the Sampling Domain

    A. Yershova;L. Jaillet;T. Simeon;S.M. LaValle

  • Optimal Multirobot Path Planning on Graphs: Complete Algorithms and Effective Heuristics

    Jingjin Yu;Steven M. LaValle

  • Virtual Reality

    Joey W. Hill;Steven M. LaValle

  • Time-optimal paths for a Dubins airplane

    H. Chitsaz;S.M. LaValle

  • Head tracking for the Oculus Rift

    Steven M. LaValle;Anna Yershova;Max Katsev;Michael Antonov

  • Motion strategies for maintaining visibility of a moving target

    S.M. LaValle;H.H. Gonzalez-Banos;C. Becker;J.-C. Latombe

  • Visibility-Based Pursuit-Evasion in a Polygonal Environment

    Leonidas J. Guibas;Jean-Claude Latombe;Steven M. LaValle;David Lin

  • Minimum Wheel-Rotation Paths for Differential-Drive Mobile Robots

    Hamidreza Chitsaz;Steven M. Lavalle;Devin J. Balkcom;Matthew T. Mason

  • Quasi-randomized path planning

    M.S. Branicky;S.M. LaValle;K. Olson;Libo Yang

  • Current Issues in Sampling-Based Motion Planning

    Stephen R. Lindemann;Steven M. LaValle

  • Randomized path planning for linkages with closed kinematic chains

    J.H. Yakey;S.M. LaValle;L.E. Kavraki

  • Planning Algorithms: Sampling-Based Motion Planning

    Steven M. LaValle

Frequent Co-Authors

Seth Hutchinson
Seth Hutchinson University of Illinois at Urbana-Champaign
Jean-Claude Latombe
Jean-Claude Latombe Stanford University
Rajeev Motwani
Rajeev Motwani Stanford University
Lydia E. Kavraki
Lydia E. Kavraki Rice University
James J. Kuffner
James J. Kuffner Toyota Motor Corporation (United States)
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Michael S. Branicky
Michael S. Branicky University of Kansas
Matthew T. Mason
Matthew T. Mason Carnegie Mellon University
Magnus Egerstedt
Magnus Egerstedt University of North Carolina at Chapel Hill

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

Studying Computer Science in the USA opens doors to a broad range of related fields and further learning opportunities. Many students and professionals explore additional online degrees to build specialized skills or to advance their careers beyond traditional technology roles.

For those interested in leadership or management, there are executive mba online programs that focus on business strategy and executive decision-making. These programs are particularly valuable for tech professionals pursuing senior positions.

Another pathway is information science, where candidates can pursue one of the most affordable online mlis programs and gain expertise in information management, digital libraries, and data organization.

If you’re considering deeper study, a variety of online affordable master's programs are available across fields like data analytics, software engineering, and cybersecurity. These programs offer flexible learning and can help boost your qualifications.

Aspiring leaders can also aim for a doctorate organizational leadership, which equips graduates to lead complex organizations and drive innovation, even in technology-focused environments.

Best Scientists Citing Steven M. LaValle

Trending Scientists

Recently Published Articles