Abhinav Dadhich

Nara Institute of Science and Technology

Papers

Total Citations

H-Index

About

Abhinav Dadhich is a researcher focused on advancing autonomous mobile robotics, with particular expertise in long-term environment mapping and dynamic perception. His most cited work, "Modeling occupancy grids using EDHMM for dynamic environments" (2015), addresses a critical challenge in robotics: maintaining consistent map representations as environments gradually change over time. Dadhich developed a novel method using an Extended Dynamic Hidden Markov Model (EDHMM) to infer and incorporate these gradual environmental changes into occupancy grid maps, enabling more reliable autonomous navigation. This contribution has been cited 3 times, reflecting its niche but valuable impact on the field of robotic mapping. Dadhich’s work bridges probabilistic modeling and real-world robotic applications, offering practical solutions for robots operating in evolving spaces such as warehouses or outdoor terrains. His research underscores the importance of adaptability in autonomous systems, making his contributions relevant for students and engineers working on persistent robot deployment.