Jose-Luis Peralta-Cabezas

Pontificia Universidad Católica de Chile, Aalto University

Papers

Total Citations

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About

Jose-Luis Peralta-Cabezas has made notable contributions to the fields of mobile robotics and bipedal locomotion, with a particular focus on estimation, prediction, and control. His most cited work, “A comparison of Bayesian prediction techniques for mobile robot trajectory tracking” (2008, 9 citations), provides a rigorous evaluation of different estimation and prediction methods for tracking multiple robots, emphasizing key performance criteria such as error magnitude, computational efficiency, and robustness under non-Gaussian noise. This work has been foundational for researchers developing reliable multi-robot tracking systems. Peralta-Cabezas also advanced the field of legged robotics with his research on Limit Cycle Walking (LCW). In “Model-based velocity control for Limit Cycle Walking” (2011, 3 citations), he proposed innovative velocity control methods integrated with Computed-Torque Control, significantly enhancing the versatility and adaptability of LCW robots. His work demonstrates a strong commitment to bridging theoretical modeling with practical robotic control, offering valuable insights for students and researchers working on trajectory prediction, state estimation, and dynamic walking robots.