Active Sensing System with In Situ Adjustable Sensor Morphology

Background Despite the widespread use of sensors in engineering systems like robots and automation systems, the common paradigm is to have fixed sensor morphology tailored to fulfill a specific application. On the other hand, robotic systems are expected to operate in ever more uncertain environments. In order to cope with the challenge, it is worthy of note that biological systems show the importance of suitable sensor morphology and active sensing capability to handle different kinds of sensing tasks with particular requirements. Methodology This paper presents a robotics active sensing system which is able to adjust its sensor morphology in situ in order to sense different physical quantities with desirable sensing characteristics. The approach taken is to use thermoplastic adhesive material, i.e. Hot Melt Adhesive (HMA). It will be shown that the thermoplastic and thermoadhesive nature of HMA enables the system to repeatedly fabricate, attach and detach mechanical structures with a variety of shape and size to the robot end effector for sensing purposes. Via active sensing capability, the robotic system utilizes the structure to physically probe an unknown target object with suitable motion and transduce the arising physical stimuli into information usable by a camera as its only built-in sensor. Conclusions/Significance The efficacy of the proposed system is verified based on two results. Firstly, it is confirmed that suitable sensor morphology and active sensing capability enables the system to sense different physical quantities, i.e. softness and temperature, with desirable sensing characteristics. Secondly, given tasks of discriminating two visually indistinguishable objects with respect to softness and temperature, it is confirmed that the proposed robotic system is able to autonomously accomplish them. The way the results motivate new research directions which focus on in situ adjustment of sensor morphology will also be discussed.

[1]  Auke Jan Ijspeert,et al.  An active connection mechanism for modular self-reconfigurable robotic systems based on physical latching , 2008, 2008 IEEE International Conference on Robotics and Automation.

[2]  W. Bock The Definition and Recognition of Biological Adaptation , 1980 .

[3]  Roberta L Klatzky,et al.  Haptic object perception: spatial dimensionality and relation to vision , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.

[4]  Mark Yim,et al.  Structure synthesis on-the-fly in a modular robot , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[5]  Kensuke Nakata Attention focusing in a sit-and-wait forager: a spider controls its prey-detection ability in different web sectors by adjusting thread tension , 2010, Proceedings of the Royal Society B: Biological Sciences.

[6]  A. Wing,et al.  Active touch sensing , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.

[7]  Dirk Kraft,et al.  A Survey of the Ontogeny of Tool Use: From Sensorimotor Experience to Planning , 2013, IEEE Transactions on Autonomous Mental Development.

[8]  L. Murr,et al.  Next-generation biomedical implants using additive manufacturing of complex, cellular and functional mesh arrays , 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[9]  Michael D. Naish,et al.  A Software Architecture for Adaptive Modular Sensing Systems , 2010, Sensors.

[10]  Carl Anderson,et al.  The extended organism: The physiology of animal-built structures , 2000, Complex..

[11]  Gregory S. Chirikjian,et al.  Modular Self-Reconfigurable Robot Systems , 2007 .

[12]  Solly Brown,et al.  A Relational Approach to Tool-Use Learning in Robots , 2012, ILP.

[13]  David A. Hutchins,et al.  A Simple, Low-Cost Conductive Composite Material for 3D Printing of Electronic Sensors , 2012, PloS one.

[14]  J. S. Turner,et al.  The Extended Organism: The Physiology of Animal-Built Structures , 2000 .

[15]  Rhys Jones,et al.  RepRap – the replicating rapid prototyper , 2011, Robotica.

[16]  Gregory S. Chirikjian,et al.  Modular Self-Reconfigurable Robot Systems [Grand Challenges of Robotics] , 2007, IEEE Robotics & Automation Magazine.

[17]  Mathew E Diamond,et al.  Whisking and whisker kinematics during a texture classification task , 2011, Philosophical Transactions of the Royal Society B: Biological Sciences.

[18]  Sean J. Blamires,et al.  Multiple prey cues induce foraging flexibility in a trap-building predator , 2011, Animal Behaviour.

[19]  Noah J. Cowan,et al.  Active sensing via movement shapes spatiotemporal patterns of sensory feedback , 2012, Journal of Experimental Biology.

[20]  N. Franceschini,et al.  From insect vision to robot vision , 1992 .

[21]  Fumiya Iida,et al.  Robotic body extension based on Hot Melt Adhesives , 2012, 2012 IEEE International Conference on Robotics and Automation.

[22]  Jérôme Casas,et al.  Variation in morphology and performance of predator-sensing system in wild cricket populations , 2005, Journal of Experimental Biology.

[23]  Hod Lipson,et al.  Fab@Home: the personal desktop fabricator kit , 2007 .

[24]  Gal A. Kaminka,et al.  Using Sensor Morphology for Multirobot Formations , 2008, IEEE Transactions on Robotics.

[25]  Gary B. Parker,et al.  Concurrently evolving sensor morphology and control for a hexapod robot , 2010, IEEE Congress on Evolutionary Computation.

[26]  Satoshi Murata,et al.  Self-reconfigurable robots , 2007, IEEE Robotics & Automation Magazine.

[27]  R. Pfeifer,et al.  Self-Organization, Embodiment, and Biologically Inspired Robotics , 2007, Science.

[28]  D E Ingber,et al.  The Mechanochemical Basis of Cell and Tissue Regulation , 2004 .