All Publications

  • Bimanual Handling of Deformable Objects With Hybrid Adhesion IEEE ROBOTICS AND AUTOMATION LETTERS Han, A., Hajj-Ahmad, A., Cutkosky, M. R. 2022; 7 (2): 5497-5503
  • Cutting to the Point: Directly Machined Metal Molds for Directional Gecko-Inspired Adhesives JOURNAL OF MICRO AND NANO-MANUFACTURING Hajj-Ahmad, A., Suresh, S. A., Cutkosky, M. 2021; 9 (2)

    View details for DOI 10.1115/1.4051406

    View details for Web of Science ID 000698752800001

  • Hybrid electrostatic and gecko-inspired gripping pads for manipulating bulky, non-smooth items SMART MATERIALS AND STRUCTURES Han, A., Hajj-Ahmad, A., Cutkosky, M. R. 2021; 30 (2)
  • Forcing the issue: testing gecko-inspired adhesives. Journal of the Royal Society, Interface Suresh, S. A., Hajj-Ahmad, A., Hawkes, E. W., Cutkosky, M. R. 2021; 18 (174): 20200730


    Materials are traditionally tested either by imposing controlled displacements and measuring the corresponding forces, or by imposing controlled forces. The first of these approaches is more common because it is straightforward to control the displacements of a stiff apparatus and, if the material suddenly fails, little energy is released. However, when testing gecko-inspired adhesives, an applied force paradigm is closer to how the adhesives are loaded in practice. Moreover, we demonstrate that the controlled displacement paradigm can lead to artefacts in the assumed behaviour unless the imposed loading trajectory precisely matches the deflections that would occur in applications. We present the design of a controlled-force system and protocol for testing directional gecko-inspired adhesives and show that results obtained with it are in some cases substantially different from those with controlled-displacement testing. An advantage of the controlled-force testing approach is that it allows accurate generation of adhesive limit curves without prior knowledge of the expected behaviour of the material or the loading details associated with practical applications.

    View details for DOI 10.1098/rsif.2020.0730

    View details for PubMedID 33435840