Ciprian Rad
Papers
11
Total Citations
106
H-Index
6
About
Ciprian Rad is a leading researcher in soft robotics, parallel mechanisms, and hyper-redundant robotic systems, with a focus on intelligent control and real-world applications. His most cited work, “Data-Driven Kinematic Model of PneuNets Bending Actuators for Soft Grasping Tasks” (28 citations), introduces a novel data-driven approximation kinematic (DAK) model that enables precise shape estimation and opening control of soft grippers for real-time grasping tasks. Rad has also made significant contributions to medical robotics, as seen in his study on the kinematics and fuzzy control of the ISOGLIDE3 parallel robot (20 citations), and to shape sensing, where he developed an AHRS IMU sensor network for hyper-redundant robots (15 citations). His research extends to sustainable automation, including vision-based robotic cells for waste sorting and manipulation, and innovative applications in vertical farming. With over 100 total citations, Rad’s work is distinguished by its integration of mechatronic design, fuzzy control, and hardware-in-the-loop simulation, demonstrating a consistent drive to bridge theoretical kinematics with practical, deployable robotic solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Kinematics and fuzzy control of ISOGLIDE3 medical parallel robot20 citations · 2016
- 3Shape Sensing of Hyper-Redundant Robots Using an AHRS IMU Sensor Network15 citations · 2022
- 4Fuzzy Control of a 3 Degree of Freedom Parallel Robot9 citations · 2009
- 5
- 6
- 7Vision-based robotic cell design for automated waste manipulation5 citations · 2018
- 8
- 9Mechatronic Concepts in Design and Control of a Teleoperated Robot4 citations · 2012
- 10