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About

Claudia F. Castillo-Berrio is a robotics researcher specializing in bio-inspired sensing and flexible mechanism control. Her work focuses on developing artificial sensing antennae that mimic the tactile capabilities of insects and mammals, enabling robots to detect obstacles and recognize objects through touch when vision is limited. Her most cited paper (2017, 18 citations) presents an improved object detection system using a robotic sensing antenna with vibration damping control, demonstrating how flexible links combined with force and torque sensors can replicate biological whisker or antenna functionality. She has made significant contributions to tip tracking control of flexible beams (2016, 10 citations), developing models and control strategies for single-beam mechanisms used in tactile sensing. Her research on nonlinear Input Shaping techniques (2014, 2016) provides innovative motion control methods for sensing antennae, reducing residual vibrations during active sensing strategies. With a total of 40 citations across her key publications, Castillo-Berrio’s work bridges robotics, control theory, and biomechanics, offering practical solutions for robots operating in dark, dusty, or confined environments where traditional vision systems fail. Her achievements advance the field of tactile sensing in mobile robotics.