Divya Agarwal

About

Dr. Divya Agarwal is a leading researcher at the intersection of robotics, artificial intelligence, and bio-inspired computation. Her primary focus lies in solving the complex challenges of autonomous robot navigation, specifically path planning and obstacle avoidance. Dr. Agarwal’s most impactful contribution is her pioneering work on a modified swarm intelligence algorithm inspired by slime moulds, which has garnered 89 citations for its novel approach to enabling mobile robots to navigate dynamic environments. She has also conducted critical surveys on nature-inspired evolutionary approaches and expert systems in robotics, synthesizing the field’s progress. Beyond algorithm development, Dr. Agarwal investigates the practical adoption of autonomous mobile robots (AMRs) in industrial settings, exploring the cause-and-effect relationships that influence their acceptance. Her work is instrumental in bridging the gap between theoretical bio-inspired computation and real-world robotic applications, making her a key voice in advancing safer, more efficient, and intelligent autonomous systems for industry and beyond.

Research Focus

Key Achievements

Top Papers

1. 1
   Implementing modified swarm intelligence algorithm based on Slime moulds for path planning and obstacle avoidance problem in mobile robots

   89 citations · 2021
2. 2
   Review of Expert System and Its Application in Robotics

   8 citations · 2018
3. 3
   Nature inspired evolutionary approaches for robot navigation: Survey

   8 citations · 2020
4. 4
   MATLAB Simulation of Path Planning and Obstacle Avoidance Problem in Mobile Robot using SA, PSO and FA

   4 citations · 2020
5. 5
   Computation of cause and effect relationship for acceptance of autonomous mobile robots in industries

   4 citations · 2019

Key Collaborators

Contact & Links