Max Robotics — Global Service Robot Directory + US Certification

About

B. Sheela Rani is a researcher specializing in autonomous mobile robotics, with a particular focus on intelligent navigation systems, path planning algorithms, and obstacle avoidance in indoor environments. Her work sits at the intersection of artificial intelligence and robotics, addressing one of the field's most challenging problems: enabling robots to navigate complex, real-world spaces efficiently and safely. Her most significant contribution is the development of the Realistic and Optimal Path Planning Algorithm (ROPPA), introduced through her socio-realistic approach to autonomous mobile robot navigation. This foundational work, which has accumulated 13 citations since its 2020 publication, established a framework for coordinating the multiple concurrent modules essential to high-performing robotic navigation systems. Her earlier 2019 conference on the same theme demonstrates her sustained commitment to refining this line of inquiry. More recently, her 2025 work on adaptive deep reinforcement learning for obstacle avoidance signals a compelling evolution in her research trajectory, already garnering 8 citations and reflecting the field's growing embrace of learning-based approaches. Collectively, Rani's contributions offer valuable insights for researchers and students working on next-generation autonomous systems, human-robot interaction, and AI-driven mobility solutions in structured indoor environments.