Max Robotics — Global Service Robot Directory + US Certification

About

Twinkle Tripathy is a robotics and autonomous systems researcher whose work spans mobile robot navigation, target tracking, and unmanned aerial vehicle (UAV) detection. Her research addresses fundamental challenges in autonomous guidance and surveillance, with a particular focus on enabling robots to operate effectively under limited sensing conditions. Her most influential contribution, "Conditions for Target Tracking with Range-Only Information" (2015, 14 citations), established key theoretical conditions under which a mobile robot can successfully track a target using only range measurements — a significant advancement for systems where full state information is unavailable. This work reflects her broader interest in resource-constrained robotics, further demonstrated in her guidance law research for coverage applications (2014), which develops navigation strategies when environmental information is scarce. Tripathy has also contributed to pattern generation for mobile robots, proposing annular trajectory frameworks centered around landmarks to support applications such as environmental monitoring and exploration. Her more recent work on detecting and tracking uncooperative UAVs using a 2-DOF robotic manipulator (2024) highlights her expanding research scope into aerial threat detection and counter-drone technologies. Across her career, Tripathy's research consistently bridges theoretical rigor with practical autonomous systems challenges.