Robotics and Autonomous Systems
Robotics and autonomous systems are reshaping how complex tasks are executed across dynamic and mission-critical environments. This research advances intelligent, adaptive systems that integrate cyber-physical architectures, machine learning, and multi-agent coordination to enable autonomous operation at scale. By combining foundational robotics research with real-world deployment and space-based platforms, these efforts support resilient, high-performance systems capable of sensing, decision-making, and action in real time. From terrestrial robotics to orbital systems, this work drives innovation in autonomy across domains.
Key capabilities include:
- Development of autonomous systems leveraging cyber-physical systems, machine learning, and multi-agent robotics
- Robotics research and deployment across real-world operational environments
- Design and control of robotic systems, including kinematics and symbolic computation
- Advanced robotic control systems for precision, adaptability, and coordination
- CubeSat and nanosatellite development, including simulation and testing platforms
- Space mission development and operations, including the IMAP Mission 3U CubeSat (3UCubed) project
- On-orbit monitoring and operational support for deployed autonomous space systems
Adaptive Interception in Dynamic Domains: Exploration of Hybrid Reinforcement Learning in Pursuit-Evasion Tasks
Akinmolayan, M., Josyula, D., Casbeer, D. Adaptive Interception in Dynamic Domains: Exploration of Hybrid Reinforcement Learning in Pursuit-Evasion Tasks, AAAI Spring Symposium, April 2026. Affiliation: Bowie State University (To appear).
A Unified Naming and Addressing Scheme for Hybrid DTN/NDN Communication Protocols
Langrin, R., & Blackstone, J. (2026). A Unified Naming and Addressing Scheme for Hybrid DTN/NDN Communication Protocols. Proceedings of the 2026 AAAI Symposium Series, San Francisco, CA. Affiliation: Howard University, Research Institute For Tactical Autonomy (To appear).
