Ivo Sousa

About

Ivo Sousa is a robotics researcher whose work focuses on autonomous navigation, self-localization, and intelligent manipulation for mobile robots. His most significant contribution is a comparative study of map-matching algorithms—Perfect Match, Iterative Closest Point, and Normal Distributions Transform—for robot self-localization, which has garnered 87 citations and serves as a key reference for researchers developing robust localization systems. Sousa has also advanced assistive robotics through the development of an intelligent wheelchair capable of autonomous interactive object manipulation and navigation, demonstrating practical applications for mobility-impaired users. His work extends to logistics automation, where he designed an autonomous mobile towing vehicle for industrial tasks. Additionally, Sousa has explored the evolution of robotic hands, reviewing state-of-the-art designs and mechanisms that enable multiple degrees-of-freedom manipulation. His research bridges theoretical algorithm comparison with real-world deployment, contributing to safer, more capable autonomous systems in both service and industrial robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Map-Matching Algorithms for Robot Self-Localization: A Comparison Between Perfect Match, Iterative Closest Point and Normal Distributions Transform

   87 citations · 2018
2. 2
   Autonomous Interactive Object Manipulation and Navigation Capabilities for an Intelligent Wheelchair

   7 citations · 2017
3. 3
   Development of an Autonomous Mobile Towing Vehicle for Logistic Tasks

   7 citations · 2019
4. 4
   Approach for Supervising Self-localization Processes in Mobile Robots

   3 citations · 2017
5. 5
   Exploiting the development of robotic hands

   2 citations · 2013

Key Collaborators

Contact & Links