Papers
2
Total Citations
7
H-Index
2
About
Ricardo Soto is a researcher whose work sits at the intersection of robotics, optimization, and constraint programming. His primary research focuses on modeling and minimizing pose errors—positional and rotational inaccuracies in robotic mechanical systems caused by joint clearances. Soto has made significant contributions by formulating novel optimization models that predict maximal pose errors, a critical step toward ensuring reliability and precision in robotic systems. His 2010 paper, "Finding the Maximal Pose Error in Robotic Mechanical Systems Using Constraint Programming," has garnered 4 citations, while his 2013 follow-up, "On the Pursuit of Reliable Solutions for a Robotic Optimization Problem," has 3 citations. Though modest in number, these works represent foundational efforts in applying constraint programming to real-world robotic challenges. Soto’s approach stands out for its focus on dependable, verifiable solutions rather than merely optimal ones—a perspective that resonates in fields where safety and accuracy are paramount. His research is especially relevant for students and engineers working on robotic design, tolerance analysis, and reliability engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2On the Pursuit of Reliable Solutions for a Robotic Optimization Problem3 citations · 2013