Amruta Vinod Gulalkari

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About

Amruta Vinod Gulalkari is a robotics researcher whose work centers on vision-based control and autonomous navigation for legged robotic systems. Her primary research areas include object tracking, motion control, and sensor integration for multi-legged robots, with a particular focus on six-legged platforms. Gulalkari’s major contributions lie in developing robust object-following systems that combine computer vision with advanced control algorithms. Her most cited work, “Object tracking and following six-legged robot system using Kinect camera based on Kalman filter and backstepping controller” (2015), has garnered 14 citations and demonstrates a novel integration of depth-sensing cameras with Kalman filtering for state estimation and backstepping control for stable locomotion. In her earlier foundational paper (2014, 5 citations), she proposed a color-based detection method enabling a six-legged robot to autonomously track and follow moving targets using a Kinect camera. These contributions are notable for advancing practical vision-guided control in bio-inspired robotics, addressing challenges in real-time object following and dynamic environment interaction. Gulalkari’s work has influenced subsequent research in legged robot autonomy and sensor-based navigation, establishing her as a contributor to the intersection of computer vision and robotic locomotion control.