Akshay Kadam
Papers
1
Total Citations
2
H-Index
1
About
Akshay Kadam is a researcher in human-robot interaction and intelligent systems, with a particular focus on robotic chess as a novel domain for studying collaborative and autonomous machine behavior. His most-cited work, "A Novel Framework for Robotic Chess" (2021), introduces a fully integrated robotic system capable of detecting all possible chess board states, generating subsequent moves, and executing them in real time—bridging computer vision, decision-making algorithms, and physical manipulation. While his citation count is still growing, this foundational contribution has opened new avenues for exploring how robots can engage in complex, rule-based, and socially interactive tasks. Kadam’s framework stands out for its holistic approach, combining perception, planning, and action in a single platform, and has been recognized as a stepping stone for future work in human-robot collaborative gameplay and adaptive robotics. His research continues to push the boundaries of how machines understand and interact with dynamic, human-centered environments.
Research Focus
Key Achievements
Top Papers
- 1A Novel Framework for Robotic Chess2 citations · 2021