Sadettin Kapucu

About

Dr. Sadettin Kapucu is a leading figure in robotics and mechatronics, renowned for his pioneering work in intelligent motion control and human-robot interaction. His research primarily focuses on developing novel solutions for robotic manipulation, including inverse kinematics, vibration reduction, and swing-free transportation. Dr. Kapucu's most impactful contribution is his 2016 paper on "A New Artificial Neural Network Approach in Solving Inverse Kinematics of Robotic Arm (Denso VP6242)," which has garnered 151 citations, establishing a new paradigm for controlling robotic arm motion using ANN architectures. He has also made significant advances in residual vibration control, as demonstrated in his highly cited works on hybrid input shaping (32 citations) and preshaped reference inputs (20 citations), which effectively reduce swing in suspended objects transported by robot manipulators. His innovative methods for swing-free transportation (17 citations) have been instrumental in industrial and service robotics. Dr. Kapucu further extends his expertise to surgical robotics, as seen in his work on ANN-based kinematics for robotic surgery, and to mechatronic design, including the development of an adjustable-stiffness tendon-driven robot finger. His research, consistently published in top venues, has profoundly influenced both theoretical and applied robotics, making him a vital resource for students and researchers in the field.

Research Focus

Key Achievements

Top Papers

1. 1
   A New Artificial Neural Network Approach in Solving Inverse Kinematics of Robotic Arm (Denso VP6242)

   151 citations · 2016
2. 2
   Residual swing/vibration reduction using a hybrid input shaping method

   32 citations · 2001
3. 3
   On preshaped reference inputs to reduce swing of suspended objects transported with robot manipulators

   20 citations · 2000
4. 4
   Swing-free transportation of suspended objects with robot manipulators

   17 citations · 1999
5. 5
   Online teaching of robotic arm by human–robot interaction: end effector force/torque sensing

   12 citations · 2018
6. 6
   A robust motion design technique for flexible-jointed manipulation systems

   10 citations · 2005
7. 7
   Robotics and servo press control applications: Experimental implementations

   10 citations · 2016
8. 8
   Artificial Neural Network Based Kinematics: Case Study on Robotic Surgery

   8 citations · 2019
9. 9
   Mechatronic design and genetic-algorithm-based MIMO fuzzy control of adjustable-stiffness tendon-driven robot finger

   7 citations · 2018
10. 10
    Robotic arm dynamic and simulation with Virtual Reality Model (VRM)

    6 citations · 2016

Key Collaborators

Contact & Links