Track papers across labs, topics, and trends.
Search papers, labs, and topics across Lattice.
University of Maryland
3
0
4
31
Formalizing language-derived robot commands with STL transforms vague instructions into precise, executable plans, enhancing reliability in complex tasks.
MARL agents can learn to cooperate with unseen partners trained with diverse reward shapings, boosting performance by up to 119% in sparse reward environments.
Drones can now proactively navigate turbulent environments thanks to a fast wind-prediction framework that integrates geometric perception and local weather data.