Papers
4
Total Citations
11
H-Index
2
About
Peter Cebola is a robotics researcher whose work bridges the gap between autonomous systems, human-robot interaction, and real-time embedded vision. His research focuses on making robotics more accessible and socially engaging, as demonstrated in his most cited work, "A mixed reality game using 3Pi robots — 'PiTanks'" (2015, 4 citations), which explores how goal-oriented robot development combined with gaming and mixed reality can influence society. Cebola has made significant contributions to robotic vision systems, particularly through his case study on designing an embedded multi-camera vision system for autonomous driving competitions (2018, 3 citations). His practical approach is evident in his work on teaching mobile robotics using the Autonomous Driving Simulator of the Portuguese Robotics Open (2019), which has helped educate the next generation of roboticists. Through his publications on design principles for efficient robotic vision (2017), Cebola has provided valuable insights into real-time robotic applications. While his citation counts reflect a focused, emerging career, his work demonstrates a commitment to advancing both the technical and social dimensions of robotics, making him a notable contributor to the field.
Research Focus
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Top Papers
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