Pascal Gohl

About

Pascal Gohl is a leading researcher in aerial robotics, visual-inertial navigation, and autonomous systems. His most impactful contribution is the development of a synchronized visual-inertial sensor system with FPGA pre-processing, which enables accurate, real-time 6D pose estimation and mapping for Micro Aerial Vehicles (MAVs)—a foundational work cited over 270 times. Gohl’s research addresses critical challenges in mobile robotics, including robust SLAM in dynamic environments and dense, photometric mapping for navigation. He also pioneered the use of UAVs for visual industrial inspection, demonstrating how aerial robots can safely capture data in hazardous or inaccessible areas (57 citations). His work on shared control of autonomous vehicles, using velocity space optimization for collision-free motion, further showcases his versatility in human-robot interaction. Additionally, Gohl contributed to educational robotics with the CoaX Micro-helicopter platform. With over 389 total citations across his key papers, his innovations in sensor fusion, real-time mapping, and autonomous navigation have significantly advanced the practical deployment of flying robots in both research and industry.

Research Focus

Key Achievements

Top Papers

1. 1
   A synchronized visual-inertial sensor system with FPGA pre-processing for accurate real-time SLAM

   270 citations · 2014
2. 2
   Visual industrial inspection using aerial robots

   57 citations · 2014
3. 3
   Dense visual-inertial navigation system for mobile robots

   33 citations · 2015
4. 4
   Shared control of autonomous vehicles based on velocity space optimization

   25 citations · 2014
5. 5
   The CoaX Micro-helicopter: A Flying Platform for Education and Research

   4 citations · 2012

Key Collaborators

Contact & Links