Ajoy Kumar Dutta
Papers
8
Total Citations
41
H-Index
4
About
Ajoy Kumar Dutta is a robotics researcher whose work focuses on the critical challenge of autonomous navigation and path planning for mobile robots. His primary contributions lie in developing novel bio-inspired algorithms that enable robots to intelligently avoid obstacles in dynamic, real-world environments. Dutta is best known for creating the "Modified Critical Point" and "OperativeCriticalPointBug" algorithms, which allow mobile robots to plan efficient paths using only locally sensed information, a fundamental requirement for operating in unfamiliar or changing spaces. He has also extended these concepts to biomimetic platforms, introducing the "Critical-SnakeBug" algorithm for snake-like and centipede-inspired wheeled robots, demonstrating how biological locomotion principles can be adapted for robust navigation. Beyond path planning, his research explores the intersection of robotics and cloud computing, investigating how networked resources can optimize task scheduling and management for cooperative multi-robot systems. With his most cited papers—including his 2020 work on the Modified Critical Point algorithm (11 citations) and his 2020 study on the OperativeCriticalPointBug algorithm (10 citations)—Dutta has established a solid foundation in local path planning. His technical study on laser engraving using the uArm Swift Pro robot further showcases his practical, application-oriented approach to robotics.
Research Focus
Key Achievements
Top Papers
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- 6Task management of robot using cloud computing3 citations · 2016
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