Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Compact bionic handling arm control using neural networks

The tip position control of a class of continuum manipulators namely the compact bionic handling arm (CBHA) is proposed. The control scheme includes two sub-controllers. The first sub-controller, based on the distal supervised learning scheme, deals with the stationary CBHA's behaviours; whereas the second based on adaptive control handles non-stationary behaviours. The experimental results obtained using the CBHA robot demonstrate the efficiency of the proposed approach.

References

    1. 1)
    2. 2)
    3. 3)
      • 3. Melingui, A., Merzouki, R., et al: ‘Qualitative approach for inverse kinematics modeling of a CBHA’. 2014 IEEE WCCI: Int Joint Conf. Neural Networks, Beijing, China, 2014.
    4. 4)
      • 4. Melingui, A., Merzouki, R., et al: ‘Qualitative approach for forward kinematic modeling of the CBHA trunk’. 19th World Congress of IFAC, Cape Town, South Africa, 2014, accepted.
    5. 5)
    6. 6)
      • 2. Rolf, M., Steil, J.J.: ‘Efficient exploratory learning of inverse kinematics on a bionic elephant trunk’, IEEE Trans. Neural Netw. Learn. Syst., 2013, 25, (6), pp. 11471160.
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2014.1136
Loading

Related content

content/journals/10.1049/el.2014.1136
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Correspondence
This article has following corresponding article(s):
in brief
This is a required field
Please enter a valid email address