World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
7377
World Ranking
8586
National Ranking
2375

Research.com Recognitions

  • 1994 - IEEE Fellow For contributions to the field of robotics and automation, particularly for developing the theory of sensor-based motion planning in an uncertain environment.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Robotics
  • Robot

The scientist’s investigation covers issues in Artificial intelligence, Motion planning, Mobile robot, Robotics and Robot. His research on Artificial intelligence frequently connects to adjacent areas such as Computer vision. In his study, Planar is strongly linked to Algorithm, which falls under the umbrella field of Motion planning.

His Mobile robot research is multidisciplinary, incorporating perspectives in Robotic arm and Trajectory. His Robotic arm research includes themes of Manipulator, Control theory, Arm solution, Simulation and Teleoperation. The various areas that he examines in his Robot study include Modality and Sensor fusion.

His most cited work include:

  • Path-planning strategies for a point mobile automaton moving amidst unknown obstacles of arbitrary shape (554 citations)
  • Sensitive Skin (397 citations)
  • Dynamic path planning for a mobile automaton with limited information on the environment (296 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Motion planning, Robot, Artificial intelligence, Mobile robot and Robot control. His Motion planning research incorporates themes from Control engineering, Robotic arm, Control theory and Position. His study in the field of Robot kinematics also crosses realms of Data processing.

His research in Artificial intelligence intersects with topics in Algorithm and Computer vision. His work on Mobile robot navigation and Personal robot as part of general Mobile robot research is often related to Complete information, thus linking different fields of science. His studies in Robotics integrate themes in fields like Human–computer interaction, Mathematical optimization and Trajectory.

He most often published in these fields:

  • Motion planning (70.51%)
  • Robot (57.69%)
  • Artificial intelligence (47.44%)

What were the highlights of his more recent work (between 1998-2018)?

  • Robot (57.69%)
  • Mobile robot (35.90%)
  • Motion planning (70.51%)

In recent papers he was focusing on the following fields of study:

Vladimir J. Lumelsky mainly focuses on Robot, Mobile robot, Motion planning, Artificial intelligence and Human–computer interaction. While working in this field, Vladimir J. Lumelsky studies both Robot and Obstacle. His study in the field of Robot control is also linked to topics like Fault tolerance and Redundancy.

His study on Motion planning is mostly dedicated to connecting different topics, such as Control theory. He works in the field of Artificial intelligence, focusing on Robotics in particular. His work in Robotics tackles topics such as Mobile robot navigation which are related to areas like Motion control.

Between 1998 and 2018, his most popular works were:

  • Sensitive Skin (397 citations)
  • Directions Toward Effective Utilization of Tactile Skin: A Review (256 citations)
  • Classification of the Dubins set (161 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Robotics
  • Robot

His primary areas of study are Robot, Human–computer interaction, Sensitive skin, Optoelectronics and Nanotechnology. Many of his research projects under Robot are closely connected to Trial and error and Obstacle with Trial and error and Obstacle, tying the diverse disciplines of science together. His Human–computer interaction research is multidisciplinary, incorporating perspectives in Engineering ethics and Human–robot interaction.

Vladimir J. Lumelsky connects Sensitive skin with Biosensor in his research.

Best Publications

  • Path-planning strategies for a point mobile automaton moving amidst unknown obstacles of arbitrary shape

    V. J. Lumelsky;A. A. Stepanov

  • Sensitive Skin

    V.J. Lumelsky;M.S. Shur;S. Wagner

  • Dynamic path planning for a mobile automaton with limited information on the environment

    V. Lumelsky;A. Stepanov

  • Directions Toward Effective Utilization of Tactile Skin: A Review

    Ravinder S. Dahiya;Philipp Mittendorfer;Maurizio Valle;Gordon Cheng

  • Incorporating range sensing in the robot navigation function

    V.J. Lumelsky;T. Skewis

  • Classification of the Dubins set

    Andrei M. Shkel;Vladimir J. Lumelsky

  • A terrain-covering algorithm for an AUV

    Susan Hert;Sanjay Tiwari;Vladimir J. Lumelsky

  • Dynamic path planning in sensor-based terrain acquisition

    V.J. Lumelsky;S. Mukhopadhyay;K. Sun

  • Real-time collision avoidance in teleoperated whole-sensitive robot arm manipulators

    V.J. Lumelsky;E. Cheung

  • Final report for the DARPA/NSF interdisciplinary study on human-robot interaction

    J.L. Burke;R.R. Murphy;E. Rogers;V.J. Lumelsky

  • Decentralized motion planning for multiple mobile robots: the cocktail party model

    V. J. Lumelsky;K. R. Harinarayan

  • On fast computation of distance between line segments

    Vladimir J. Lumelsky

  • A comparative study on the path length performance of maze-searching and robot motion planning algorithms

    V.J. Lumelsky

  • Proximity sensing in robot manipulator motion planning: system and implementation issues

    E. Cheung;V.J. Lumelsky

  • Algorithmic and complexity issues of robot motion in an uncertain environment

    Vladimir J. Lumelsky

  • Effect of kinematics on motion planning for planar robot arms moving amidst unknown obstacles

    V. Lumelsky

  • Biped robot locomotion in scenes with unknown obstacles

    M. Yagi;V. Lumelsky

  • Polygon Area Decomposition for Multiple-Robot Workspace Division

    Susan Hert;Vladimir J. Lumelsky

  • An algorithm for maze searching with azimuth input

    V. Lumelsky;S. Tiwari

  • Experiments with a mobile robot operating in a cluttered unknown environment

    Tim Skewis;Vladimir J. Lumelsky

Frequent Co-Authors

Andrei M. Shkel
Andrei M. Shkel University of California, Irvine
Michael Shur
Michael Shur Rensselaer Polytechnic Institute
Charles R. Dyer
Charles R. Dyer University of Wisconsin–Madison
Kiriakos N. Kutulakos
Kiriakos N. Kutulakos University of Toronto
Jean Scholtz
Jean Scholtz Pacific Northwest National Laboratory
Sigurd Wagner
Sigurd Wagner Princeton University
Ravinder Dahiya
Ravinder Dahiya Northeastern University
Gordon Cheng
Gordon Cheng Technical University of Munich
Maurizio Valle
Maurizio Valle University of Genoa
Robin R. Murphy
Robin R. Murphy Texas A&M University

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