Daniel Angelov

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 14

Top Topics

Temporally Extended

Motion Planning

Relational Models

Top Venues

IEEE Robotics Autom. Lett.

Auton. Agents Multi Agent Syst.

Publications

Michael Burke, Katie Lu, Daniel Angelov, Arturas Straizys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy
Learning rewards from exploratory demonstrations using probabilistic temporal ranking. Auton. Robots 47 (6) (2023)
Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy
Vid2Param: Modeling of Dynamics Parameters From Video. IEEE Robotics Autom. Lett. 5 (2) (2020)
Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
From demonstrations to task-space specifications. Using causal analysis to extract rule parameterization from demonstrations. Auton. Agents Multi Agent Syst. 34 (2) (2020)
Michael Burke, Katie Lu, Daniel Angelov, Arturas Straizys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy
Learning robotic ultrasound scanning using probabilistic temporal ranking. CoRR (2020)
Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
From Demonstrations to Task-Space Specifications: Using Causal Analysis to Extract Rule Parameterization from Demonstrations. CoRR (2020)
Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy
Composing Diverse Policies for Temporally Extended Tasks. IEEE Robotics Autom. Lett. 5 (2) (2020)
Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy
Correction to "Vid2Param: Modelling of Dynamics Parameters From Video". IEEE Robotics Autom. Lett. 5 (2) (2020)
Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy
Disentangled Relational Representations for Explaining and Learning from Demonstration. CoRL (2019)
Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL. CoRR (2019)
Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
Using Causal Analysis to Learn Specifications from Task Demonstrations. AAMAS (2019)
Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy
Vid2Param: Online system identification from video for robotics applications. CoRR (2019)
Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
Using Causal Analysis to Learn Specifications from Task Demonstrations. CoRR (2019)
Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy
Composing Diverse Policies for Temporally Extended Tasks. CoRR (2019)
Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy
Disentangled Relational Representations for Explaining and Learning from Demonstration. CoRR (2019)