Shreyas Kadekodi
Papers
1
Total Citations
5
H-Index
1
About
Shreyas Kadekodi is a robotics researcher whose work centers on real-time control, obstacle avoidance, and object-aware motion planning for safe human-robot interaction. His most-cited paper, “A Framework for the Systematic Evaluation of Obstacle Avoidance and Object-Aware Controllers” (2022, 5 citations), introduces a structured methodology for analyzing controllers that dynamically adjust a robot’s trajectory to anticipate and prevent collisions with moving objects. This framework addresses a critical gap in robotics: the need for rigorous, repeatable evaluation of safety-critical control systems in unstructured environments. By focusing on three core design dimensions—predictive awareness, reactive response, and collision avoidance—Kadekodi’s work provides engineers and researchers with a systematic tool to benchmark and improve real-time robot behavior. His contributions are particularly relevant for applications in autonomous navigation, collaborative manufacturing, and service robotics, where safe operation around humans is paramount. Though early in his career, Kadekodi’s research lays foundational groundwork for more reliable and trustworthy autonomous systems, bridging the gap between theoretical control design and practical deployment in dynamic, object-rich settings.
Research Focus
Key Achievements
Top Papers
- 1