Philippos Mordohai

About

Philippos Mordohai is a computer vision and robotics researcher whose work spans perceptual organization, autonomous navigation, and assistive robotics. He is perhaps best known for his foundational contributions to tensor voting, a powerful framework for perceptual organization in computer vision and machine learning, with his 2006 work accumulating over 100 citations and establishing him as a key figure in the field. Building on this computational foundation, Mordohai has made significant strides in applied robotics, particularly in developing egocentric vision-based robotic wheelchairs designed to enhance mobility for elderly and disabled individuals with limited hand functionality — a body of work spanning from 2016 through 2023 that has garnered growing recognition across multiple publications. His research also encompasses active target localization, next-best-view planning, and stereo vision-based path planning for mobile robots, demonstrating a sophisticated integration of theory and real-world application. More recently, he has extended his interests to underwater structure mapping using autonomous vehicle teams. Across his career, Mordohai exemplifies how principled computer vision research can be translated into technologies that meaningfully improve human lives and expand robotic autonomy in complex environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Tensor Voting: A Perceptual Organization Approach to Computer Vision and Machine Learning

   101 citations · 2006
2. 2
   Tensor Voting

   33 citations · 2006
3. 3
   Usability Studies of an Egocentric Vision-Based Robotic Wheelchair

   26 citations · 2020
4. 4
   An egocentric computer vision based co-robot wheelchair

   16 citations · 2016
5. 5
   A hybrid control approach to the Next-Best-View problem using stereo vision

   15 citations · 2013
6. 6
   Optimal path planning and resource allocation for active target localization

   14 citations · 2015
7. 7
   Egocentric Computer Vision for Hands-Free Robotic Wheelchair Navigation

   12 citations · 2023
8. 8
   A Shared Autonomy Approach for Wheelchair Navigation Based on Learned User Preferences

   10 citations · 2017
9. 9
   Hybrid control for mobile target localization with stereo vision

   7 citations · 2013
10. 10
    Towards Mapping of Underwater Structures by a Team of Autonomous Underwater Vehicles

    7 citations · 2023

Key Collaborators

Contact & Links