Grounding Symbols in Multi-Modal Instructions. - Yordan Hristov; Svetlin Penkov; Alex Lascarides; Subramanian Ramamoorthy (RoboNLP@ACL, 2017)

Physical symbol grounding and instance learning through demonstration and eye tracking. - Svetlin Penkov; Alejandro Bordallo; Subramanian Ramamoorthy (ICRA, 2017)

Explaining Transition Systems through Program Induction. - Svetlin Penkov; Subramanian Ramamoorthy (CoRR, 2017)

Using Program Induction to Interpret Transition System Dynamics. - Svetlin Penkov; Subramanian Ramamoorthy (CoRR, 2017)

Efficient Computation of Collision Probabilities for Safe Motion Planning. - Andrew Blake 004; Alejandro Bordallo; Majd Hawasly; Svetlin Penkov; Subramanian Ramamoorthy; Alexandre Silva (CoRR, 2018)

Learning Programmatically Structured Representations with Perceptor Gradients. - Svetlin Penkov; Subramanian Ramamoorthy (ICLR (Poster), 2019)

From Explanation to Synthesis: Compositional Program Induction for Learning from Demonstration. - Michael Burke; Svetlin Penkov; Subramanian Ramamoorthy (Robotics: Science and Systems, 2019)

Iterative Model-Based Reinforcement Learning Using Simulations in the Differentiable Neural Computer. - Adeel Mufti; Svetlin Penkov; Subramanian Ramamoorthy (CoRR, 2019)

Neural Abstract Reasoner. - Victor Kolev; Bogdan Georgiev; Svetlin Penkov (CoRR, 2020)

FPR - Fast Path Risk Algorithm to Evaluate Collision Probability. - Andrew Blake 004; Alejandro Bordallo; Kamen Brestnichki; Majd Hawasly; Svetlin Valentinov Penkov; Subramanian Ramamoorthy; Alexandre Silva (IEEE Robotics Autom. Lett., 2020)