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2020 – today
- 2022
[j28]Todor Davchev
, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy:
Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation. IEEE Robotics Autom. Lett. 7(2): 4488-4495 (2022)- [j27]Francisco Eiras, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy:
A Two-Stage Optimization-Based Motion Planner for Safe Urban Driving. IEEE Trans. Robotics 38(2): 822-834 (2022) - [c76]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller:
Robust Learning from Observation with Model Misspecification. AAMAS 2022: 1337-1345 - [i69]Xin Du, Bénédicte Legastelois, Bhargavi Ganesh, Ajitha Rajan, Hana Chockler, Vaishak Belle, Stuart Anderson, Subramanian Ramamoorthy:
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities. CoRR abs/2201.11674 (2022) - [i68]Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Craig Innes, Subramanian Ramamoorthy, Adrian Weller:
Robust Learning from Observation with Model Misspecification. CoRR abs/2202.06003 (2022) - [i67]Manu Lahariya, Craig Innes, Chris Develder, Subramanian Ramamoorthy:
Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators. CoRR abs/2202.12977 (2022) - [i66]Morris Antonello, Mihai Dobre, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy:
Flash: Fast and Light Motion Prediction for Autonomous Driving with Bayesian Inverse Planning and Learned Motion Profiles. CoRR abs/2203.08251 (2022) - [i65]Anthony L. Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer:
Risk-Driven Design of Perception Systems. CoRR abs/2205.10677 (2022) - 2021
- [j26]Joe Hays, Subramanian Ramamoorthy, Christian Tetzlaff:
Editorial: Robust Artificial Intelligence for Neurorobotics. Frontiers Neurorobotics 15: 809903 (2021) - [j25]Sergio D. Sierra Marín, Daniel Gomez-Vargas, Nathalia Céspedes, Marcela C. Múnera, Flavio Roberti, Patricio Barria, Subramanian Ramamoorthy, Marcelo Becker, Ricardo O. Carelli, Carlos A. Cifuentes:
Expectations and Perceptions of Healthcare Professionals for Robot Deployment in Hospital Environments During the COVID-19 Pandemic. Frontiers Robotics AI 8: 612746 (2021) - [j24]Todor Davchev, Michael Burke, Subramanian Ramamoorthy:
Learning Structured Representations of Spatial and Interactive Dynamics for Trajectory Prediction in Crowded Scenes. IEEE Robotics Autom. Lett. 6(2): 707-714 (2021) - [j23]Michael Burke, Kartic Subr, Subramanian Ramamoorthy:
Action Sequencing Using Visual Permutations. IEEE Robotics Autom. Lett. 6(2): 1745-1752 (2021) - [j22]Paola Ardón, Maria E. Cabrera, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan, Maya Cakmak:
Affordance-Aware Handovers With Human Arm Mobility Constraints. IEEE Robotics Autom. Lett. 6(2): 3136-3143 (2021) - [c75]Francisco Javier Chiyah Garcia, Simón C. Smith, José Lopes, Subramanian Ramamoorthy, Helen F. Hastie:
Self-Explainable Robots in Remote Environments. HRI (Companion) 2021: 662-664 - [c74]Yordan Hristov, Subramanian Ramamoorthy:
Learning from Demonstration with Weakly Supervised Disentanglement. ICLR 2021 - [c73]Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Balint Gyevnar, Francisco Eiras, Mihai Dobre, Subramanian Ramamoorthy:
Interpretable Goal-based Prediction and Planning for Autonomous Driving. ICRA 2021: 1043-1049 - [c72]Craig Innes, Subramanian Ramamoorthy:
ProbRobScene: A Probabilistic Specification Language for 3D Robotic Manipulation Environments. ICRA 2021: 9446-9452 - [c71]Paola Ardón, Èric Pairet, Katrin S. Lohan, Subramanian Ramamoorthy, Ron P. A. Petrick:
Building Affordance Relations for Robotic Agents - A Review. IJCAI 2021: 4302-4311 - [c70]Henry Pulver, Francisco Eiras, Ludovico Carozza, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy:
PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving. IROS 2021: 1442-1449 - [c69]Simón C. Smith, Subramanian Ramamoorthy:
Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots. IROS 2021: 6546-6551 - [c68]Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht:
Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles. IROS 2021: 7044-7051 - [c67]Jack Geary, Subramanian Ramamoorthy, Henry Gouk:
Resolving Conflict in Decision-Making for Autonomous Driving. Robotics: Science and Systems 2021 - [i64]John Hartley, Hubert P. H. Shum, Edmond S. L. Ho, He Wang, Subramanian Ramamoorthy:
Formation Control for UAVs Using a Flux Guided Approach. CoRR abs/2103.09184 (2021) - [i63]Michael Burke, Subramanian Ramamoorthy:
Learning data association without data association: An EM approach to neural assignment prediction. CoRR abs/2105.00369 (2021) - [i62]Paola Ardón, Èric Pairet, Katrin S. Lohan, Subramanian Ramamoorthy, Ronald P. A. Petrick:
Building Affordance Relations for Robotic Agents - A Review. CoRR abs/2105.06706 (2021) - [i61]Craig Innes, Yordan Hristov, Georgios Kamaras, Subramanian Ramamoorthy:
Automatic Synthesis of Experiment Designs from Probabilistic Environment Specifications. CoRR abs/2107.00093 (2021) - [i60]Todor Davchev, Sarah Bechtle, Subramanian Ramamoorthy, Franziska Meier:
Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning. CoRR abs/2107.03186 (2021) - [i59]Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht:
Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles. CoRR abs/2108.02530 (2021) - [i58]Simón C. Smith, Subramanian Ramamoorthy:
Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots. CoRR abs/2108.03150 (2021) - [i57]Craig Innes, Subramanian Ramamoorthy:
Automated Testing with Temporal Logic Specifications for Robotic Controllers using Adaptive Experiment Design. CoRR abs/2109.08071 (2021) - [i56]Xin Du, Subramanian Ramamoorthy, Wouter Duivesteijn, Jin Tian, Mykola Pechenizkiy:
Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles. CoRR abs/2109.10432 (2021) - [i55]Jack Geary, Henry Gouk, Subramanian Ramamoorthy:
Active Altruism Learning and Information Sufficiency for Autonomous Driving. CoRR abs/2110.04580 (2021) - [i54]Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomas E. Muller Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Thomas K. Warburton, Maria Acosta Flechas, Anthony Aportela, Thomas Calvet, Leonardo Cristella, Daniel Diaz, Caterina Doglioni, Maria Domenica Galati, Elham E Khoda, Farah Fahim, Davide Giri, Benjamin Hawks, Duc Hoang, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Iris Johnson, Raghav Kansal, Ryan Kastner, Erik Katsavounidis, Jeffrey Krupa, Pan Li, Sandeep Madireddy, Ethan Marx, Patrick McCormack, Andres Meza, Jovan Mitrevski, Mohammed Attia Mohammed, Farouk Mokhtar, Eric Moreno, Srishti Nagu, Rohin Narayan, Noah Palladino, Zhiqiang Que, Sang Eon Park, Subramanian Ramamoorthy, Dylan Rankin, Simon Rothman, Ashish Sharma, Sioni Summers, Pietro Vischia, Jean-Roch Vlimant, Olivia Weng:
Applications and Techniques for Fast Machine Learning in Science. CoRR abs/2110.13041 (2021) - 2020
- [j21]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): 45 (2020) - [j20]Emmanuel Kahembwe, Subramanian Ramamoorthy:
Lower dimensional kernels for video discriminators. Neural Networks 132: 506-520 (2020) - [j19]Andrew Blake, Alejandro Bordallo, Kamen Brestnichki, Majd Hawasly, Svetlin Valentinov Penkov, Subramanian Ramamoorthy, Alexandre Silva:
FPR - Fast Path Risk Algorithm to Evaluate Collision Probability. IEEE Robotics Autom. Lett. 5(1): 1-7 (2020) - [j18]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): 414-421 (2020) - [j17]Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy:
Composing Diverse Policies for Temporally Extended Tasks. IEEE Robotics Autom. Lett. 5(2): 2658-2665 (2020) - [j16]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): 2872 (2020) - [c66]Simón C. Smith, Subramanian Ramamoorthy:
Counterfactual Explanation and Causal Inference In Service of Robustness in Robot Control. ICDL-EPIROB 2020: 1-8 - [c65]Arturas Straizys, Michael Burke, Subramanian Ramamoorthy:
Surfing on an uncertain edge: Precision cutting of soft tissue using torque-based medium classification. ICRA 2020: 4623-4629 - [c64]Tatiana Lopez-Guevara, Rita Pucci, Nicholas K. Taylor, Michael U. Gutmann, Subramanian Ramamoorthy, Kartic Subr:
Stir to Pour: Efficient Calibration of Liquid Properties for Pouring Actions. IROS 2020: 5351-5357 - [c63]Paola Ardón, Èric Pairet, Yvan R. Pétillot, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan:
Self-Assessment of Grasp Affordance Transfer. IROS 2020: 9385-9392 - [c62]Craig Innes, Subramanian Ramamoorthy:
Elaborating on Learned Demonstrations with Temporal Logic Specifications. Robotics: Science and Systems 2020 - [c61]Simón C. Smith, Subramanian Ramamoorthy:
Semi-supervised Learning From Demonstration Through Program Synthesis: An Inspection Robot Case Study. AREA@ECAI 2020: 81-101 - [i53]Craig Innes, Subramanian Ramamoorthy:
Elaborating on Learned Demonstrations with Temporal Logic Specifications. CoRR abs/2002.00784 (2020) - [i52]Michael Burke, Katie Lu, Daniel Angelov, Arturas Straizys, Craig Innes, Kartic Subr, Subramanian Ramamoorthy:
Learning robotic ultrasound scanning using probabilistic temporal ranking. CoRR abs/2002.01240 (2020) - [i51]Francisco Eiras, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy:
A Two-Stage Optimization Approach to Safe-by-Design Planning for Autonomous Driving. CoRR abs/2002.02215 (2020) - [i50]Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Francisco Eiras, Mihai Dobre, Subramanian Ramamoorthy:
Integrating Planning and Interpretable Goal Recognition for Autonomous Driving. CoRR abs/2002.02277 (2020) - [i49]Paola Ardón, Èric Pairet, Katrin S. Lohan, Subramanian Ramamoorthy, Ronald P. A. Petrick:
Affordances in Robotic Tasks - A Survey. CoRR abs/2004.07400 (2020) - [i48]Yordan Hristov, Subramanian Ramamoorthy:
Learning from Demonstration with Weakly Supervised Disentanglement. CoRR abs/2006.09107 (2020) - [i47]Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
From Demonstrations to Task-Space Specifications: Using Causal Analysis to Extract Rule Parameterization from Demonstrations. CoRR abs/2006.11300 (2020) - [i46]Paola Ardón, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan:
Self-Assessment of Grasp Affordance Transfer. CoRR abs/2007.02132 (2020) - [i45]Michael Burke, Kartic Subr, Subramanian Ramamoorthy:
Action sequencing using visual permutations. CoRR abs/2008.01156 (2020) - [i44]Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, Subramanian Ramamoorthy:
Residual Learning from Demonstration. CoRR abs/2008.07682 (2020) - [i43]Simón C. Smith, Subramanian Ramamoorthy:
Counterfactual Explanation and Causal Inference in Service of Robustness in Robot Control. CoRR abs/2009.08856 (2020) - [i42]Paola Ardón, Maria E. Cabrera, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan, Maya Cakmak:
Affordance-Aware Handovers with Human Arm Mobility Constraints. CoRR abs/2010.15436 (2020) - [i41]Henry Pulver, Francisco Eiras, Ludovico Carozza, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy:
PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving. CoRR abs/2011.00509 (2020) - [i40]Craig Innes, Subramanian Ramamoorthy:
ProbRobScene: A Probabilistic Specification Language for 3D Robotic Manipulation Environments. CoRR abs/2011.01126 (2020)
2010 – 2019
- 2019
- [j15]Martin Asenov, Marius Rutkauskas, Derryck Telford Reid, Kartic Subr, Subramanian Ramamoorthy:
Active Localization of Gas Leaks Using Fluid Simulation. IEEE Robotics Autom. Lett. 4(2): 1776-1783 (2019) - [j14]Paola Ardón, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan:
Learning Grasp Affordance Reasoning Through Semantic Relations. IEEE Robotics Autom. Lett. 4(4): 4571-4578 (2019) - [c60]Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
Using Causal Analysis to Learn Specifications from Task Demonstrations. AAMAS 2019: 1341-1349 - [c59]Michael Burke, Yordan Hristov, Subramanian Ramamoorthy:
Hybrid system identification using switching density networks. CoRL 2019: 172-181 - [c58]Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy:
Disentangled Relational Representations for Explaining and Learning from Demonstration. CoRL 2019: 870-884 - [c57]Svetlin Penkov, Subramanian Ramamoorthy:
Learning Programmatically Structured Representations with Perceptor Gradients. ICLR (Poster) 2019 - [c56]Michael Burke, Svetlin Penkov, Subramanian Ramamoorthy:
From Explanation to Synthesis: Compositional Program Induction for Learning from Demonstration. Robotics: Science and Systems 2019 - [c55]Paola Ardón, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan:
Reasoning on Grasp-Action Affordances. TAROS (1) 2019: 3-15 - [i39]Martin Asenov, Marius Rutkauskas, Derryck Telford Reid, Kartic Subr, Subramanian Ramamoorthy:
Active Localization of Gas Leaks using Fluid Simulation. CoRR abs/1901.09608 (2019) - [i38]Stavros Gerakaris, Subramanian Ramamoorthy:
Learning Best Response Strategies for Agents in Ad Exchanges. CoRR abs/1902.03588 (2019) - [i37]Michael Burke, Svetlin Penkov, Subramanian Ramamoorthy:
From explanation to synthesis: Compositional program induction for learning from demonstration. CoRR abs/1902.10657 (2019) - [i36]Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
Using Causal Analysis to Learn Specifications from Task Demonstrations. CoRR abs/1903.01267 (2019) - [i35]Tatiana Lopez-Guevara, Rita Pucci, Nicholas K. Taylor, Michael U. Gutmann, Subramanian Ramamoorthy, Kartic Subr:
To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions. CoRR abs/1904.02431 (2019) - [i34]Svetlin Penkov, Subramanian Ramamoorthy:
Learning Programmatically Structured Representations with Perceptor Gradients. CoRR abs/1905.00956 (2019) - [i33]Todor Davchev, Timos Korres, Stathi Fotiadis, Nick Antonopoulos, Subramanian Ramamoorthy:
An Empirical Evaluation of Adversarial Robustness under Transfer Learning. CoRR abs/1905.02675 (2019) - [i32]Paola Ardón, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan:
Reasoning on Grasp-Action Affordances. CoRR abs/1905.10610 (2019) - [i31]Adeel Mufti, Svetlin Penkov, Subramanian Ramamoorthy:
Iterative Model-Based Reinforcement Learning Using Simulations in the Differentiable Neural Computer. CoRR abs/1906.07248 (2019) - [i30]Paola Ardón, Èric Pairet, Ronald P. A. Petrick, Subramanian Ramamoorthy, Katrin S. Lohan:
Learning Grasp Affordance Reasoning through Semantic Relations. CoRR abs/1906.09836 (2019) - [i29]Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy:
DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL. CoRR abs/1906.10099 (2019) - [i28]Stefano V. Albrecht, Subramanian Ramamoorthy:
Are You Doing What I Think You Are Doing? Criticising Uncertain Agent Models. CoRR abs/1907.01912 (2019) - [i27]Michael Burke, Yordan Hristov, Subramanian Ramamoorthy:
Hybrid system identification using switching density networks. CoRR abs/1907.04360 (2019) - [i26]Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy:
An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types. CoRR abs/1907.05247 (2019) - [i25]Stefano V. Albrecht, Subramanian Ramamoorthy:
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract). CoRR abs/1907.05850 (2019) - [i24]Martin Asenov, Michael Burke, Daniel Angelov, Todor Davchev, Kartic Subr, Subramanian Ramamoorthy:
Vid2Param: Online system identification from video for robotics applications. CoRR abs/1907.06422 (2019) - [i23]Stefano V. Albrecht, Subramanian Ramamoorthy:
On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems. CoRR abs/1907.06995 (2019) - [i22]Daniel Angelov, Yordan Hristov, Michael Burke, Subramanian Ramamoorthy:
Composing Diverse Policies for Temporally Extended Tasks. CoRR abs/1907.08199 (2019) - [i21]Stefano V. Albrecht, Subramanian Ramamoorthy:
Comparative Evaluation of Multiagent Learning Algorithms in a Diverse Set of Ad Hoc Team Problems. CoRR abs/1907.09189 (2019) - [i20]Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy:
E-HBA: Using Action Policies for Expert Advice and Agent Typification. CoRR abs/1907.09810 (2019) - [i19]Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy:
Disentangled Relational Representations for Explaining and Learning from Demonstration. CoRR abs/1907.13627 (2019) - [i18]Arturas Straizys, Michael Burke, Subramanian Ramamoorthy:
Surfing on an uncertain edge: Precision cutting of soft tissue using torque-based medium classification. CoRR abs/1909.07247 (2019) - [i17]Todor Davchev, Michael Burke, Subramanian Ramamoorthy:
Learning Modular Representations for Long-Term Multi-Agent Motion Predictions. CoRR abs/1911.13044 (2019) - [i16]Emmanuel Kahembwe, Subramanian Ramamoorthy:
Lower Dimensional Kernels for Video Discriminators. CoRR abs/1912.08860 (2019) - 2018
- [j13]Adam Linson, Andy Clark, Subramanian Ramamoorthy, Karl J. Friston:
The Active Inference Approach to Ecological Perception: General Information Dynamics for Natural and Artificial Embodied Cognition. Frontiers Robotics AI 5: 21 (2018) - [c54]Paola Ardón Ramirez, Subramanian Ramamoorthy, Katrin Solveig Lohan:
Object Affordances by Inferring on the Surroundings. ARSO 2018: 69-70 - [c53]Yordan Hristov, Alex Lascarides, Subramanian Ramamoorthy:
Interpretable Latent Spaces for Learning from Demonstration. CoRL 2018: 957-968 - [c52]Stavros Gerakaris, Subramanian Ramamoorthy:
Learning Best Response Strategies for Agents in Ad Exchanges. EUMAS 2018: 77-93 - [c51]Abhirup Ghosh, Benedek Rozemberczki, Subramanian Ramamoorthy, Rik Sarkar:
Topological signatures for fast mobility analysis. SIGSPATIAL/GIS 2018: 159-168 - [i15]Craig Innes, Alex Lascarides, Stefano V. Albrecht, Subramanian Ramamoorthy, Benjamin Rosman:
Reasoning about Unforeseen Possibilities During Policy Learning. CoRR abs/1801.03331 (2018) - [i14]Helen F. Hastie, Katrin Solveig Lohan, Mike J. Chantler, David A. Robb, Subramanian Ramamoorthy, Ronald P. A. Petrick, Sethu Vijayakumar, David Lane:
The ORCA Hub: Explainable Offshore Robotics through Intelligent Interfaces. CoRR abs/1803.02100 (2018) - [i13]Andrew Blake, Alejandro Bordallo, Majd Hawasly, Svetlin Penkov, Subramanian Ramamoorthy, Alexandre Silva:
Efficient Computation of Collision Probabilities for Safe Motion Planning. CoRR abs/1804.05384 (2018) - [i12]Yordan Hristov, Alex Lascarides, Subramanian Ramamoorthy:
Interpretable Latent Spaces for Learning from Demonstration. CoRR abs/1807.06583 (2018) - 2017
- [c50]Yordan Hristov, Svetlin Penkov, Alex Lascarides, Subramanian Ramamoorthy:
Grounding Symbols in Multi-Modal Instructions. RoboNLP@ACL 2017: 49-57 - [c49]Tatiana Lopez-Guevara, Nicholas K. Taylor, Michael U. Gutmann, Subramanian Ramamoorthy, Kartic Subr:
Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation. CoRL 2017: 77-86 - [c48]Majd Hawasly, Florian T. Pokorny, Subramanian Ramamoorthy:
Multi-scale Activity Estimation with Spatial Abstractions. GSI 2017: 273-281 - [c47]Svetlin Penkov, Alejandro Bordallo, Subramanian Ramamoorthy:
Physical symbol grounding and instance learning through demonstration and eye tracking. ICRA 2017: 5921-5928 - [c46]Stefano V. Albrecht, Subramanian Ramamoorthy:
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract). IJCAI 2017: 5085-5089 - [i11]Svetlin Penkov, Subramanian Ramamoorthy:
Explaining Transition Systems through Program Induction. CoRR abs/1705.08320 (2017) - [i10]Yordan Hristov, Svetlin Penkov, Alex Lascarides, Subramanian Ramamoorthy:
Grounding Symbols in Multi-Modal Instructions. CoRR abs/1706.00355 (2017) - [i9]Svetlin Penkov, Subramanian Ramamoorthy:
Using Program Induction to Interpret Transition System Dynamics. CoRR abs/1708.00376 (2017) - 2016
- [j12]Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy:
Belief and truth in hypothesised behaviours. Artif. Intell. 235: 63-94 (2016) - [j11]Florian T. Pokorny, Majd Hawasly, Subramanian Ramamoorthy:
Topological trajectory classification with filtrations of simplicial complexes and persistent homology. Int. J. Robotics Res. 35(1-3): 204-223 (2016) - [j10]Stefano V. Albrecht, Subramanian Ramamoorthy:
Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks. J. Artif. Intell. Res. 55: 1135-1178 (2016) - [j9]Benjamin Rosman, Majd Hawasly, Subramanian Ramamoorthy:
Bayesian policy reuse. Mach. Learn. 104(1): 99-127 (2016) - [c45]Fabio Previtali, Alejandro Bordallo, Luca Iocchi, Subramanian Ramamoorthy:
Predicting Future Agent Motions for Dynamic Environments. ICMLA 2016: 94-99 - [c44]José Cano, Alejandro Bordallo, Vijay Nagarajan, Subramanian Ramamoorthy, Sethu Vijayakumar:
Automatic configuration of ROS applications for near-optimal performance. IROS 2016: 2217-2223 - [c43]Luis de Miranda, Subramanian Ramamoorthy, Michael Rovatsos:
We, Anthrobot: Learning from Human Forms of Interaction and Esprit de Corps to Develop More Plural Social Robotics. Robophilosophy/TRANSOR 2016: 48-59 - [i8]Majd Hawasly, Florian T. Pokorny, Subramanian Ramamoorthy:
Estimating Activity at Multiple Scales using Spatial Abstractions. CoRR abs/1607.07311 (2016) - [i7]Alejandro Bordallo, Fabio Previtali, Nantas Nardelli, Subramanian Ramamoorthy:
Counterfactual Reasoning about Intent for Interactive Navigation in Dynamic Environments. CoRR abs/1610.08424 (2016) - 2015
- [j8]Benjamin Rosman, Subramanian Ramamoorthy:
Action Priors for Learning Domain Invariances. IEEE Trans. Auton. Ment. Dev. 7(2): 107-118 (2015) - [c42]Stefano Vittorino Albrecht, Jacob William Crandall, Subramanian Ramamoorthy:
An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types. AAAI 2015: 1988-1994 - [c41]