Patrick Sebastian
Papers
7
Total Citations
163
H-Index
4
About
Patrick Sebastian is a robotics and autonomous systems researcher whose work spans mobile robotics, simultaneous localization and mapping (SLAM), computer vision, and artificial intelligence applications in intelligent systems. Based on his publication record, Sebastian has made meaningful contributions to both theoretical and applied robotics, with his most influential work being a 2016 quantitative study on tuning ROS gmapping parameters for indoor 2D SLAM, which has accumulated 76 citations and remains a practical reference for researchers seeking to optimize lightweight, cost-effective SLAM implementations. His 2012 paper on an Autonomous Fire Fighting Mobile Platform, with 68 citations, demonstrates his commitment to translating robotics research into life-saving applications, addressing real-world hazards faced by emergency responders. Sebastian has also explored stereo vision tracking, deep learning-based feature extraction for industrial robot tracking, and unconventional locomotion systems such as the dragging-based TriBot. His broader interest in AI-driven autonomous and surveillance systems is reflected in his editorial leadership in the field as recently as 2025. Collectively, his research reflects a career dedicated to making intelligent robotic systems more practical, accessible, and impactful across safety-critical and industrial domains.
Research Focus
Key Achievements
Top Papers
- 1
- 2Autonomous Fire Fighting Mobile Platform68 citations · 2012
- 3Stereo Vision Tracking System8 citations · 2009
- 4
- 5
- 6
- 7TriBot: Dragging locomotion three-finger robot2 citations · 2011