Rendy Valentino
Papers
1
Total Citations
4
H-Index
1
About
Rendy Valentino has made notable contributions to the field of autonomous robotics, with a particular focus on mobile manipulation and object handling systems. His key research areas include autonomous mobile robot development, robotic arm control, and sensor-based weight estimation for safe object interaction. His most cited work, "Development of autonomous mobile robot for taking suspicious object with estimation of object weight ability" (2016), presents an innovative approach to enabling robots to safely handle objects of unknown mass. By measuring the current flowing into two servos, Valentino developed a linear method to estimate object weight, preventing the robot arm from dropping items during transport—a critical advancement for applications in hazardous material handling and security. Although his citation count is modest, his work demonstrates practical engineering solutions that bridge sensor feedback and real-time robotic control. Valentino’s research is particularly valuable for students and engineers interested in low-cost, effective approaches to autonomous manipulation, showcasing how simple sensor data can be leveraged to enhance robotic safety and reliability in real-world scenarios.
Research Focus
Key Achievements
Top Papers
- 1