Growing robot sensing and control

Growing robots (or vine robots) that achieve locomotion by extending from their tip, are inherently compliant and can safely navigate through constrained environments that prove challenging for traditional robots. However, the same compliance and tip-extension mechanism that enables this ability, also leads directly to challenges in their shape estimation and control. 


Recent relevant papers:

C. Watson, R. Obregon, T.K. Morimoto, "Closed-Loop Position Control for Growing Robots Via Online Jacobian Corrections." IEEE Robotics and Automation Letters 6.4 (2021): 6820-6827.

M. Bryant, C. Watson, and T. K. Morimoto. "Tactile perception for growing robots via discrete curvature measurements." In IEEE/RAS Int. Conf. on Intelligent Robots and Systems (IROS), 2022.

C.M. Watson and T.K. Morimoto. "Permanent Magnet-Based Localization for Growing Robots in Medical Applications." IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 2666-2673, 2020.


We have developed a low-cost, wireless, permanent magnet-based method for localizing the tip of these robots. A permanent magnet is placed at the robot tip, and an array of magneto-inductive sensors is used to measure the change in magnetic field as the robot moves through its workspace. We develop an approach to localization that combines analytical and machine learning techniques and show that it outperforms existing methods.