Leandro da Silva
Papers
1
Total Citations
1
H-Index
1
About
Leandro da Silva is a researcher focused on the intersection of robotics and optimization, with a particular emphasis on improving the efficiency and performance of robotic manipulators. His work addresses critical challenges in robot motion planning and control, specifically targeting the reduction of mechanical stress and energy consumption during operation. His most notable contribution, "Robot Position Optimization Based on Joint Mean Torque Norm," introduces a novel method for optimizing robot joint configurations to minimize the average torque exerted on actuators, thereby enhancing system longevity and precision. Although this paper has garnered 1 citation, it represents a foundational step in applying torque-based metrics to real-world robotic tasks, such as assembly and material handling. Da Silva’s research is especially relevant for industries seeking to reduce operational costs and improve robot reliability. His work demonstrates a practical approach to bridging theoretical optimization with tangible engineering outcomes, making him a valuable contributor to the field of robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1Robot Position Optimization Based on Joint Mean Torque Norm1 citations · 2017