Shubhankar B Das

Papers

1

Total Citations

4

H-Index

1

About

Shubhankar B Das is a robotics researcher whose work centers on autonomous navigation and motion planning for legged systems, with a particular focus on hexapod robots. His most-cited paper, "Mapping, Trajectory Planning, and Navigation for Hexapod Robots Using ROS" (2022), has garnered 4 citations and addresses a critical challenge in field robotics: enabling six-legged platforms to operate autonomously in unstructured environments. By integrating Robot Operating System (ROS) frameworks with real-time mapping and trajectory optimization, Das has contributed practical solutions for deploying hexapods in search-and-rescue, exploration, and industrial inspection tasks. His work bridges the gap between theoretical control algorithms and hardware implementation, offering reproducible pipelines that lower the barrier for other researchers working with multi-legged robots. Though early in his career, Das’s focus on robust, ROS-based navigation for non-wheeled platforms highlights a growing need for adaptive locomotion in robotics. His contributions are particularly relevant for students and engineers seeking to understand how to combine perception, planning, and control in complex, real-world terrains.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Mapping, Trajectory Planning, and Navigation for Hexapod Robots Using ROS
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago