Yazhini C. Pradeep

About

Yazhini C. Pradeep is a robotics researcher whose work focuses on safe, human-inspired navigation for mobile robots operating in unknown and dynamic environments. Her key research areas include collision avoidance, reactive navigation algorithms, and human-robot interaction in unstructured settings. Pradeep’s most significant contribution is the introduction of the *Pc* metric, a performance measure specifically designed to evaluate collision avoidance algorithms—a foundational tool that has garnered 5 citations and provides a standardized way to assess safety in robotic navigation. Her 2016 paper on human-inspired robot navigation proposes a novel algorithm that, unlike traditional methods requiring full environmental knowledge, operates with only partial sensory input, enabling robots to navigate safely among moving humans. This work has been cited 4 times and highlights her focus on biomimetic approaches. Additionally, her 2018 algorithm for real-time coverage safety addresses the challenge of minimizing overlap while ensuring safe traversal in geometrically changing environments. Through these contributions, Pradeep has advanced the field of reactive navigation, offering practical solutions for robots that must operate safely alongside people in unpredictable settings.

Research Focus

Key Achievements

Top Papers

1. 1
   The<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll" id="d1e783" altimg="si231.gif"><mml:mi>P</mml:mi><mml:mi>c</mml:mi></mml:math>metric: A performance measure for collision avoidance algorithms

   5 citations · 2018
2. 2
   Human-inspired robot navigation in unknown dynamic environments

   4 citations · 2016
3. 3
   2D Stimuli-Induced Equilibrium Point based Algorithm for Real-Time Coverage Safety in Dynamic Environment

   2 citations · 2018

Key Collaborators

Contact & Links