Nandiraju Gireesh

Indian Institute of Technology Hyderabad

Papers

Total Citations

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About

Nandiraju Gireesh is a robotics researcher whose work focuses on enabling autonomous robots to navigate and interact intelligently in real-world environments. His primary research areas include mobile manipulation, object goal navigation, and multi-object navigation. Gireesh has made significant contributions to developing learning-based frameworks that allow robots to perceive, plan, and act in complex, previously unseen spaces. His most cited work, "GAMMA: Graspability-Aware Mobile MAnipulation Policy Learning" (2024, 20 citations), addresses the critical challenge of effectively observing and grasping targets while a robot is in motion, fusing online grasping pose information with policy learning. Earlier, he advanced the field of object goal navigation with "Object Goal Navigation using Data Regularized Q-Learning" (2022, 8 citations), which incrementally builds semantic maps to guide robot movement. Gireesh also pioneered the use of spatial relation graphs and graph convolutional networks for navigation, and tackled the more complex sequence-agnostic multi-object navigation task (2023, 9 citations). His work is notable for bridging perception, mapping, and decision-making, directly impacting the development of more capable assistive robots for homes and factories.