Jose Luis Susa Rincon
Siemens (Germany), University of California, Merced, Merced College
Papers
4
Total Citations
30
H-Index
3
About
Jose Luis Susa Rincon is a robotics researcher focused on enabling autonomous systems to operate efficiently under real-world constraints. His work bridges perception, planning, and time-critical decision-making, with key contributions in robotic inspection, spatial exploration, and multi-robot coordination. In his highly cited 2023 paper on "Robotic Defect Inspection with Visual and Tactile Perception for Large-Scale Components" (12 citations), he addresses a critical industrial challenge: automated surface anomaly detection for quality assessment in large-scale manufacturing. His 2019 work on "Time-Constrained Exploration Using Toposemantic Spatial Models" (9 citations) introduces a reproducible framework for robots balancing multiple objectives under strict time limits. Earlier, his 2017 paper on "Rapid Deployment of Mobile Robots Under Temporal, Performance, Perception, and Resource Constraints" (6 citations) tackles the fundamental problem of maximizing mission success probability when a team of robots must collect information from stationary targets before a deadline. Susa Rincon also advanced multi-robot mapping with his work on merging Oriented Topological Semantic Maps (OTSM), enabling cooperative environment modeling. His research is notable for its emphasis on measurable, reproducible robotics—providing practical frameworks that move autonomous systems closer to reliable deployment in industrial and field settings.
Research Focus
Key Achievements
Top Papers
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- 4Map Merging of Oriented Topological Semantic Maps3 citations · 2019