Open AccessToward Self-Modifying Bio-Soft Robots
Author(s) -
Takuya Umedachi,
Masahiro Shimizu
Publication year - 2022
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 19
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2022.p0219
Subject(s) - soft robotics , artificial intelligence , robotics , robot , computer science , soft materials , human–computer interaction , robotic paradigms , coding (social sciences) , control engineering , engineering , nanotechnology , mathematics , materials science , statistics
Soft robotics can dramatically increase the affinity between machines and biological systems. Designing the machine/device to be soft and deformable allows the biological system to interact with the robotic system(s) mechanically, electronically, and chemically. This advantage is evident from the rapid growth of collaborative robotics, where a robot can be mechanically guided by an operator to learn motions from them without the need for coding. This letter introduces a method for combining a soft robotic system with a biological system, demonstrated through a series of case studies of ongoing research projects. These various projects have a common purpose in creating self-modifying bio-soft robots.