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Robotics and Autonomy
Our team, primarily working in APL’s Intelligent Systems Center, utilizes novel control strategies, human-machine teaming, perception, and generative artificial intelligence to create intelligent robots that act with purpose in complex, adversarial environments.
Focus Areas
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Adaptive Autonomy
Enable robots with human-quality decision-making to maneuver through complex environments
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Adversarial Robotics
Design uncrewed systems to detect, characterize, and defeat adversary uncrewed systems
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Extreme Robotics
Develop robots that persist in harsh environments and master novel performance envelopes
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Multi-Agent Teaming
Optimize human-machine teaming, including trust and assurance considerations
Research Highlights
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Coordinating Tactical Teams of Autonomous Machines → Oct 16, 2024
More Research Highlights
In the News
- From Tools to Teammates: Creating Robotic Medical First Responders (CNN, September 25, 2023)
- Loyal, Unafraid and Unmanned (Armada International, December 14, 2020)
- [Video] Scientists at Work: Teaching Robots to Think (PEWtrusts.org, April 12, 2019)
- Plays Well with Humans (Johns Hopkins Magazine, Winter 2019)
News from APL
- Johns Hopkins APL Researchers Aim to Set Safer Paths for Swift-Flying Robots (December 16, 2021)
- Johns Hopkins APL Helps DARPA OFFSET Program Take Flight (March 14, 2021)
- Six From Johns Hopkins APL Earn Johns Hopkins Diversity Leadership Awards (July 14, 2020)
- APL Discovery Projects to Explore Disaster Health, Ethical Robotics, School Safety (July 23, 2019)
- APL Researchers Know the CODE to Unmanned Aircraft Program’s Success (May 30, 2019)
Featured Work
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Agile and Intelligent Robots
Developing novel controls for robotic systems operating safely in complex environments
Learn more about Agile and Intelligent Robots