Active state learning from surprises in stochastic and partially-observable environments 

Bayesian methods for autonomous learning systems 

Learning to detect and adapt to unpredicted changes 

Autonomous mobile robot navigation in urban environment 

Learning objective functions for autonomous motion generation 

Transfer reinforcement learning for autonomous collision avoidance 

Speeding up trajectory planning for autonomous robots operating in complex environments 

African-American/Black students’ experience and achievement in asynchronous online learning environments at a community college 

Analysis of student cyclic responses and tri-engagement levels in a global learning environment 

Examining the learning environments of urban high school educators who are culturally aware and serve a majority of students from historically marginalized populations 

Robot life-long task learning from human demonstrations: a Bayesian approach 

Learning, adaptation and control to enhance wireless network performance 

Sample-efficient and robust neurosymbolic learning from demonstrations 

Networked cooperative perception: towards robust and efficient autonomous driving 

Facilitation of authentic teaching and learning in a problem-based learning (PBL) environment 

Terrain-following motion of an autonomous agent as means of motion planning in the unknown environment 

Rethinking perception-action loops via interactive perception and learned representations 

Leveraging prior experience for scalable transfer in robot learning 

Data-driven autonomous manipulation 

Ultradian rhythmicity of autonomic function in sleep-disordered breathing 

Reward shaping and social learning in self- organizing systems through multi-agent reinforcement learning 

Learning logical abstractions from sequential data 

Learning from planners to enable new robot capabilities 

Program-guided framework for your interpreting and acquiring complex skills with learning robots 

Navigation and guidance of an autonomous surface vehicle