Dr. David A. Handelman Profile

Dr. David A. Handelman

at Johns Hopkins Univ Applied Physics Lab

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Author

Publications (6)

Proceedings Article | 14 June 2023 Poster + Paper

Leveraging synthetic data for robust gesture recognition

Kapil Katyal, Rama Chellappa, Ketul Shah, Arun Reddy, Judy Hoffman, William Paul, Rohita Mocharla, David Handelman, Celso de Melo

Proceedings Volume 12529, 125290Y (2023) https://doi.org/10.1117/12.2663827

KEYWORDS: Gesture recognition, Robots, Detection and tracking algorithms, Video, RGB color model, Image segmentation, Action recognition, Semantics, Image classification, Education and training

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Proceedings Article | 12 June 2023 Presentation + Paper

Multi-agent playbook for human-robot teaming

David Handelman, Emma Holmes, Andrew Badger, Corban Rivera, Joe Rexwinkle, Gregory Gremillion

Proceedings Volume 12538, 125380K (2023) https://doi.org/10.1117/12.2663960

KEYWORDS: Augmented reality, Visualization, Machine learning, Robotics, Information visualization, Human-machine interfaces, Situational awareness sensors, Knowledge acquisition, Heads up displays, Artificial intelligence, Cognitive modeling

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Proceedings Article | 13 May 2016 Paper

Landmark-based robust navigation for tactical UGV control in GPS-denied communication-degraded environments

Yoichiro Endo, Jonathan Balloch, Alexander Grushin, Mun Wai Lee, David Handelman

Proceedings Volume 9837, 98370F (2016) https://doi.org/10.1117/12.2224231

KEYWORDS: Control systems, Environmental sensing, Global Positioning System, Telecommunications, Sensors, LIDAR, Navigation systems, Video, Cameras, Image segmentation

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Proceedings Article | 8 May 2010 Paper

Agile and dexterous robot for inspection and EOD operations

David Handelman, Gordon Franken, Haldun Komsuoglu

Proceedings Volume 7692, 769211 (2010) https://doi.org/10.1117/12.851251

KEYWORDS: Inspection, Control systems, Unmanned ground vehicles, Visualization, Prototyping, Skin, Hardware testing, Object recognition, Cameras, Explosives

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Proceedings Article | 22 April 2008 Paper

Adaptive collaborative control of highly redundant robots

David Handelman

Proceedings Volume 6962, 69620Y (2008) https://doi.org/10.1117/12.782298

KEYWORDS: Robots, Neural networks, Control systems, Kinematics, Prototyping, Unmanned ground vehicles, Robotics, Adaptive control, Visualization, Human-machine interfaces

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Proceedings Article | 1 August 1990 Paper

Can robots learn like people do?

Stephen Lane, David Handelman, Jack Gelfand

Proceedings Volume 1294, (1990) https://doi.org/10.1117/12.21181

KEYWORDS: Control systems, Neural networks, Robotics, Artificial neural networks, Robots, Sensors, Feedback control, Data processing, Spinal cord, Servomechanisms

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Showing 5 of 6 publications

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