Ricardo Cajo
Papers
3
Total Citations
57
H-Index
2
About
Ricardo Cajo is a leading researcher in multiagent systems and intelligent robotics, with a focus on distributed control and autonomous navigation. His work on "Distributed Formation Control for Multiagent Systems Using a Fractional-Order Proportional–Integral Structure" (2021, 31 citations) introduces a novel fractional-order control protocol that enhances the stability and performance of multiagent formations, addressing key challenges in single- and double-integrator dynamics. In mobile robotics, Cajo’s "Research on Dynamic Path Planning of Mobile Robot Based on Improved DDPG Algorithm" (2021, 24 citations) advances deep reinforcement learning by integrating the RAdam optimizer into the DDPG framework, significantly improving success rates and learning speed in dynamic environments. He also contributes to assistive technology through his work on a low-cost robotic hand prosthesis control system (2018), enabling basic grip movements for individuals with congenital hand malformations. With over 57 citations across his most-cited papers, Cajo’s research bridges theoretical control design and practical robotics applications, making impactful contributions to distributed systems, intelligent path planning, and human-centered robotics.
Research Focus
Key Achievements
Top Papers
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