Rishita Chakma

Rangamati Science and Technology University

Papers

Total Citations

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About

Rishita Chakma is an emerging researcher at the forefront of robotics and embedded systems, with a specialized focus on sensor-based autonomous navigation and safety applications. Her most-cited work, "Design and Implementation of an Ultrasonic Sensor-Based Obstacle Avoidance System for Arduino Robots" (2023, 29 citations), represents a significant contribution to affordable, intelligent robotics. In this study, Chakma engineered a cost-effective obstacle avoidance robot that leverages ultrasonic sensing and artificial intelligence techniques to navigate dynamic environments, directly addressing critical safety challenges in road accident prevention. Her research bridges the gap between theoretical AI algorithms and practical, real-world deployment on accessible platforms like Arduino. By demonstrating how low-cost hardware can be integrated with smart decision-making, Chakma’s work has influenced both educational robotics and applied autonomous systems. Her growing citation count reflects the immediate relevance of her contributions to researchers and engineers working on collision avoidance, mobile robot navigation, and human-robot interaction. As a rising voice in her field, Chakma continues to push the boundaries of how intelligent sensing can enhance safety and autonomy in everyday technologies.