Darlan Ioris
Papers
1
Total Citations
10
H-Index
1
About
Darlan Ioris is a robotics researcher whose work focuses on the integration and control of advanced robotic manipulators, particularly through the use of open-source software frameworks. His most-cited paper, "An Architecture for Controlling the Barrett WAM Robot Using ROS and OROCOS" (2014, 10 citations), addresses a critical challenge in robotics: enabling precise, real-time control of sophisticated hardware like the Barrett WAM robot by combining the Robot Operating System (ROS) with the Open Robot Control Software (OROCOS) platform. While the manufacturer provides a basic ROS package limited to position control, Ioris’s architecture extends this to support torque and joint-level control, significantly enhancing the robot’s versatility for research and industrial applications. This contribution is notable for bridging the gap between high-level task planning and low-level hardware control, offering a modular, reusable solution that has influenced subsequent work in robotic manipulation. Ioris’s research underscores the importance of interoperability in robotics software, and his work continues to serve as a valuable resource for engineers and researchers developing complex robotic systems.
Research Focus
Key Achievements
Top Papers
- 1An Architecture for Controlling the Barrett WAM Robot Using ROS and OROCOS10 citations · 2014