
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

Adaptive Autonomy
Enable robots with human-quality decision-making to maneuver through complex environments

Adversarial Robotics
Design uncrewed systems to detect, characterize, and defeat adversary uncrewed systems

Extreme Robotics
Develop robots that persist in harsh environments and master novel performance envelopes

Multi-Agent Teaming
Optimize human-machine teaming, including trust and assurance considerations
Research Highlights

Coordinating Tactical Teams of Autonomous Machines → Oct 16, 2024
More Research Highlights
In the News
- (CNN, September 25, 2023)
- (Armada International, December 14, 2020)
- (PEWtrusts.org, April 12, 2019)
- (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

Agile and Intelligent Robots
Developing novel controls for robotic systems operating safely in complex environments
Learn more about Agile and Intelligent Robots