Papers
12
Total Citations
95
H-Index
5
About
Nirmalya Roy is a robotics and autonomous systems researcher whose work spans human-robot interaction, multi-robot coordination, autonomous navigation, and middleware development. His most recognized contribution, "Natural Language Command of an Autonomous Micro-Air Vehicle" (2010, 40 citations), demonstrated how flexible natural language interfaces could be used to direct robotic platforms, bridging the gap between human intent and machine execution—a foundational challenge in human-robot interaction. Building on this foundation, Roy has made significant strides in autonomous navigation, developing systems such as CoverNav, which employs deep reinforcement learning to enable covert navigation in unstructured outdoor environments, and TopoNav, which leverages topological representations for efficient exploration in sparse reward settings. His work on co-simulation middleware—including the SynchroSim framework and ROS2-based synchronization tools—addresses critical infrastructure needs for testing heterogeneous multi-robot systems in IoT and search-and-rescue contexts. Roy has also contributed to network-aware mobile computing and semantic segmentation for robotic perception. With a body of work accumulating nearly 100 citations, his research consistently addresses practical challenges at the intersection of artificial intelligence, robotics, and real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Natural language command of an autonomous micro-air vehicle40 citations · 2010
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- 6Passive network-awareness for dynamic resource-constrained networks4 citations · 2011
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- 9Passive Network-Awareness for Dynamic Resource-Constrained Networks2 citations · 2011
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