Kanishka Ganguly

University of Maryland, College Park

Papers

4

Total Citations

100

H-Index

3

About

Kanishka Ganguly is a roboticist whose work sits at the intersection of aerial robotics and dexterous manipulation, tackling two of the field’s most fundamental challenges: perception in unstructured environments and grasping without sight. His most influential contribution, the “GapFlyt” system (2018, 90 citations), pioneered an active vision approach that enables quadrotors to detect and fly through gaps using minimal, structure-less sensing—a paradigm shift from passive, representation-heavy methods that dominated the field. This work demonstrated that aerial robots can navigate complex, unknown spaces with remarkable efficiency, inspiring a wave of research in minimalist, behavior-driven flight. In parallel, Ganguly has made significant strides in tactile-based manipulation. His “Grasping in the Dark” series (2020) leverages the Shadow Dexterous Hand and BioTac tactile sensors to achieve compliant, zero-shot grasping of unknown objects when visual input is absent or degraded—a critical capability for real-world deployment in low-light or occluded environments. He has also contributed novel methods for extracting contact and motion from manipulation videos (2018), bridging the gap between visual observation and physical interaction. Ganguly’s work is characterized by a bold, bottom-up philosophy that prioritizes action over representation, earning him recognition as a rising innovator in embodied AI.

Research Focus

Key Achievements

3
H-Index
4
Papers
100
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
GapFlyt: Active Vision Based Minimalist Structure-Less Gap Detection For Quadrotor Flight
90 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Maryland, College Park

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago