Stretch Robot.
Stretch robot
PI: Tianmin Shu
Student researchers: Yifan Yi, Xinyi Li, Michael Ye, Haojun Shi
The Institute for Assured Autonomy’s space in the Stieff Silver Building houses the Stretch robot, which is being used by Tianmin Shu, an assistant professor in the Department of Computer Science, and his students to advance their research.
The robot consists of a mobile base, a vertically actuated and extendable arm, and a gripper, enabling it to manipulate everyday objects and carry out a wide range of household tasks.
A primary goal of this research is to advance the development of home robots that can reason about human needs and preferences, offering proactive assistance and effective communication. The ultimate aim is to create socially intelligent robots capable of collaborating and assisting diverse users in complex, real-world environments.
Legged Robots.
PI: Tinoosh Mohsenin
Student researchers: Mozhgan Navardi, Boxun Hu, Romina Aalishah, Edward Humes
At the Johns Hopkins University’s Institute for Assured Autonomy, researchers and students are developing the next generation of artificial intelligence models for legged and arm robots and tiny drones designed to work without cloud connectivity. Led by Tinoosh Mohsenin, an associate professor in the Department of Electrical and Computer Engineering, the team is focused on creating energy-efficient embodied AI systems that can operate in real-world conditions, including disaster zones where every second counts.
“Time matters in these situations, whether it’s for finding people, planning and navigating, or medical assistance,” said Mohsenin. “Robots need to work independently from the cloud, running AI models directly on their own hardware and last many hours for completing the mission.”
Tiny Drone.
These robots combine machine learning, computer vision, and large language models (LLMs) to achieve real-time perception, navigation, and decision-making, all on resource-constrained platforms. The result is accurate, efficient, and autonomous robots capable of operating in both indoor and outdoor environments.