Kartik Ramachandruni

Georgia Institute of Technology

Papers

3

Total Citations

36

H-Index

3

About

Kartik Ramachandranuni is a rising roboticist whose work sits at the intersection of artificial intelligence, human-robot collaboration, and semantic reasoning. His research focuses on enabling robots to understand and operate intelligently within complex, human-centric environments. A key contribution is his pioneering work on mutual adaptation in human-robot teams. His 2023 paper on the User-Aware Hierarchical Task Planning (UHTP) framework (12 citations) challenges the traditional leader-follower paradigm, proposing a communication-free model where both human and robot partners actively negotiate roles and actions to achieve shared goals. This work is foundational for developing truly collaborative robots. Ramachandranuni has also advanced the field of semantic reasoning for robotics with a highly-cited 2022 survey (19 citations), which systematically maps out how robots can use knowledge representation to understand their world. Further extending this capability, his ConSOR framework (5 citations) addresses the complex problem of context-aware object rearrangement, allowing robots to place objects correctly in partially arranged scenes. Through these contributions, Ramachandranuni is shaping a future where robots are not just tools, but adaptive, intelligent partners.

Research Focus

Key Achievements

3
H-Index
3
Papers
36
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
A survey of Semantic Reasoning frameworks for robotic systems
19 citations · 2022
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Georgia Institute of Technology

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago