- Receding Horizon Control for Signal Temporal Logic Using Robustness-Conserving Partial Formula Evaluation
- DetMCVI: Life-sized deterministic POMDPs can be solved quickly with high success rates and small policy sizes
- No regrets: investigating and improving regret approximations for curriculum discovery
Research Experience
From April 2013 to September 2017, he was a Research Fellow in Intelligent Robotics at the University of Birmingham's Intelligent Robotics Lab. He mainly worked on the STRANDS project, developing control approaches that handle uncertainties in human-populated environments and use spatio-temporal data from long-term robot deployments to improve performance.
Education
BSc in Applied Mathematics and Computation (2007), MSc in Mathematics and Applications (2007), and PhD in Electrical and Computing Engineering (2013) from Instituto Superior Técnico.
Background
Research interests: Investigating how formal methods can be used in robotics, particularly using temporal logic to specify and synthesize high-level controllers for robot systems with formal performance guarantees. Research areas include: Sequential Decision Making, Probabilistic Model Checking, Multi-Robot Coordination, Service Robotics, Temporal Logics, Petri Nets, Supervisory Control.