Subramanian Ramamoorthy

According to our database1, Subramanian Ramamoorthy authored at least 147 papers between 2002 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
A Two-Stage Optimization-Based Motion Planner for Safe Urban Driving.
IEEE Trans. Robotics, 2022

Residual Learning From Demonstration: Adapting DMPs for Contact-Rich Manipulation.
IEEE Robotics Autom. Lett., 2022

Formation control for UAVs using a Flux Guided approach.
Expert Syst. Appl., 2022

DiPA: Diverse and Probabilistically Accurate Interactive Prediction.
CoRR, 2022

Learning robotic cutting from demonstration: Non-holonomic DMPs using the Udwadia-Kalaba method.
CoRR, 2022

Testing Rare Downstream Safety Violations via Upstream Adaptive Sampling of Perception Error Models.
CoRR, 2022

A Novel Design and Evaluation of a Dactylus-Equipped Quadruped Robot for Mobile Manipulation.
CoRR, 2022

On Specifying for Trustworthiness.
CoRR, 2022

Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior?
CoRR, 2022

Achieving Dexterous Bidirectional Interaction in Uncertain Conditions for Medical Robotics.
CoRR, 2022

Risk-Driven Design of Perception Systems.
CoRR, 2022

Flash: Fast and Light Motion Prediction for Autonomous Driving with Bayesian Inverse Planning and Learned Motion Profiles.
CoRR, 2022

Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators.
CoRR, 2022

Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities.
CoRR, 2022

Perspectives on the system-level design of a safe autonomous driving stack.
AI Commun., 2022

Automated Testing With Temporal Logic Specifications for Robotic Controllers Using Adaptive Experiment Design.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Robust Learning from Observation with Model Misspecification.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Learning Structured Representations of Spatial and Interactive Dynamics for Trajectory Prediction in Crowded Scenes.
IEEE Robotics Autom. Lett., 2021

Action Sequencing Using Visual Permutations.
IEEE Robotics Autom. Lett., 2021

Affordance-Aware Handovers With Human Arm Mobility Constraints.
IEEE Robotics Autom. Lett., 2021

Expectations and Perceptions of Healthcare Professionals for Robot Deployment in Hospital Environments During the COVID-19 Pandemic.
Frontiers Robotics AI, 2021

Editorial: Robust Artificial Intelligence for Neurorobotics.
Frontiers Neurorobotics, 2021

Applications and Techniques for Fast Machine Learning in Science.
CoRR, 2021

Active Altruism Learning and Information Sufficiency for Autonomous Driving.
CoRR, 2021

Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles.
CoRR, 2021

Learning Time-Invariant Reward Functions through Model-Based Inverse Reinforcement Learning.
CoRR, 2021

Automatic Synthesis of Experiment Designs from Probabilistic Environment Specifications.
CoRR, 2021

Learning data association without data association: An EM approach to neural assignment prediction.
CoRR, 2021

Resolving Conflict in Decision-Making for Autonomous Driving.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Attainment Regions in Feature-Parameter Space for High-Level Debugging in Autonomous Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Building Affordance Relations for Robotic Agents - A Review.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

ProbRobScene: A Probabilistic Specification Language for 3D Robotic Manipulation Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Interpretable Goal-based Prediction and Planning for Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning from Demonstration with Weakly Supervised Disentanglement.
Proceedings of the 9th International Conference on Learning Representations, 2021

Self-Explainable Robots in Remote Environments.
Proceedings of the Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021

2020
FPR - Fast Path Risk Algorithm to Evaluate Collision Probability.
IEEE Robotics Autom. Lett., 2020

Correction to "Vid2Param: Modelling of Dynamics Parameters From Video".
IEEE Robotics Autom. Lett., 2020

Vid2Param: Modeling of Dynamics Parameters From Video.
IEEE Robotics Autom. Lett., 2020

Composing Diverse Policies for Temporally Extended Tasks.
IEEE Robotics Autom. Lett., 2020

Lower dimensional kernels for video discriminators.
Neural Networks, 2020

Residual Learning from Demonstration.
CoRR, 2020

Semi-supervised Learning From Demonstration Through Program Synthesis: An Inspection Robot Case Study.
Proceedings of the First Workshop on Agents and Robots for reliable Engineered Autonomy, 2020

Self-Assessment of Grasp Affordance Transfer.
CoRR, 2020

Affordances in Robotic Tasks - A Survey.
CoRR, 2020

Integrating Planning and Interpretable Goal Recognition for Autonomous Driving.
CoRR, 2020

A Two-Stage Optimization Approach to Safe-by-Design Planning for Autonomous Driving.
CoRR, 2020

Learning robotic ultrasound scanning using probabilistic temporal ranking.
CoRR, 2020

From demonstrations to task-space specifications. Using causal analysis to extract rule parameterization from demonstrations.
Auton. Agents Multi Agent Syst., 2020

Elaborating on Learned Demonstrations with Temporal Logic Specifications.
Proceedings of the Robotics: Science and Systems XVI, 2020

Stir to Pour: Efficient Calibration of Liquid Properties for Pouring Actions.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Self-Assessment of Grasp Affordance Transfer.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Surfing on an uncertain edge: Precision cutting of soft tissue using torque-based medium classification.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Counterfactual Explanation and Causal Inference In Service of Robustness in Robot Control.
Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

2019
Active Localization of Gas Leaks Using Fluid Simulation.
IEEE Robotics Autom. Lett., 2019

Learning Grasp Affordance Reasoning Through Semantic Relations.
IEEE Robotics Autom. Lett., 2019

Learning Modular Representations for Long-Term Multi-Agent Motion Predictions.
CoRR, 2019

E-HBA: Using Action Policies for Expert Advice and Agent Typification.
CoRR, 2019

Comparative Evaluation of Multiagent Learning Algorithms in a Diverse Set of Ad Hoc Team Problems.
CoRR, 2019

Vid2Param: Online system identification from video for robotics applications.
CoRR, 2019

DynoPlan: Combining Motion Planning and Deep Neural Network based Controllers for Safe HRL.
CoRR, 2019

Iterative Model-Based Reinforcement Learning Using Simulations in the Differentiable Neural Computer.
CoRR, 2019

An Empirical Evaluation of Adversarial Robustness under Transfer Learning.
CoRR, 2019

To Stir or Not to Stir: Online Estimation of Liquid Properties for Pouring Actions.
CoRR, 2019

Reasoning on Grasp-Action Affordances.
Proceedings of the Towards Autonomous Robotic Systems - 20th Annual Conference, 2019

From Explanation to Synthesis: Compositional Program Induction for Learning from Demonstration.
Proceedings of the Robotics: Science and Systems XV, 2019

Learning Programmatically Structured Representations with Perceptor Gradients.
Proceedings of the 7th International Conference on Learning Representations, 2019

Disentangled Relational Representations for Explaining and Learning from Demonstration.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Hybrid system identification using switching density networks.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Using Causal Analysis to Learn Specifications from Task Demonstrations.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
The Active Inference Approach to Ecological Perception: General Information Dynamics for Natural and Artificial Embodied Cognition.
Frontiers Robotics AI, 2018

Efficient Computation of Collision Probabilities for Safe Motion Planning.
CoRR, 2018

The ORCA Hub: Explainable Offshore Robotics through Intelligent Interfaces.
CoRR, 2018

Reasoning about Unforeseen Possibilities During Policy Learning.
CoRR, 2018

Topological signatures for fast mobility analysis.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

Learning Best Response Strategies for Agents in Ad Exchanges.
Proceedings of the Multi-Agent Systems - 16th European Conference, 2018

Interpretable Latent Spaces for Learning from Demonstration.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Object Affordances by Inferring on the Surroundings.
Proceedings of the 2018 IEEE Workshop on Advanced Robotics and its Social Impacts, 2018

2017
Using Program Induction to Interpret Transition System Dynamics.
CoRR, 2017

Explaining Transition Systems through Program Induction.
CoRR, 2017

Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract).
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Physical symbol grounding and instance learning through demonstration and eye tracking.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Multi-scale Activity Estimation with Spatial Abstractions.
Proceedings of the Geometric Science of Information - Third International Conference, 2017

Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid Simulation.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

Grounding Symbols in Multi-Modal Instructions.
Proceedings of the First Workshop on Language Grounding for Robotics, 2017

2016
Bayesian policy reuse.
Mach. Learn., 2016

Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks.
J. Artif. Intell. Res., 2016

Topological trajectory classification with filtrations of simplicial complexes and persistent homology.
Int. J. Robotics Res., 2016

Estimating Activity at Multiple Scales using Spatial Abstractions.
CoRR, 2016

Belief and truth in hypothesised behaviours.
Artif. Intell., 2016

We, Anthrobot: Learning from Human Forms of Interaction and Esprit de Corps to Develop More Plural Social Robotics.
Proceedings of the What Social Robots Can and Should Do, 2016

Automatic configuration of ROS applications for near-optimal performance.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Predicting Future Agent Motions for Dynamic Environments.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015
Action Priors for Learning Domain Invariances.
IEEE Trans. Auton. Ment. Dev., 2015

Predicting Actions Using a Probabilistic Model of Human Decision Behaviours.
Proceedings of the Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29, 2015

Are You Doing What I Think You Are Doing? Criticising Uncertain Agent Models.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Counterfactual reasoning about intent for interactive navigation in dynamic environments.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Exploiting Causality for Efficient Monitoring in POMDPs.
CoRR, 2014

On Convergence and Optimality of Best-Response Learning with Policy Types in Multiagent Systems.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Multiscale Topological Trajectory Classification with Persistent Homology.
Proceedings of the Robotics: Science and Systems X, 2014

A Formalization of the Coach Problem.
Proceedings of the RoboCup 2014: Robot World Cup XVIII [papers from the 18th Annual RoboCup International Symposium, 2014

On user behaviour adaptation under interface change.
Proceedings of the 19th International Conference on Intelligent User Interfaces, 2014

Joint classification of actions and object state changes with a latent variable discriminative model.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Giving advice to agents with hidden goals.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

A Generative Model for User Simulation in a Spatial Navigation Domain.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

2013
Latent space segmentation for mobile gait analysis.
ACM Trans. Embed. Comput. Syst., 2013

Games, Groups and the Global Good.
J. Oper. Res. Soc., 2013

Motion planning and reactive control on learnt skill manifolds.
Int. J. Robotics Res., 2013

Clustering Markov Decision Processes For Continual Transfer.
CoRR, 2013

BRISK-Based Visual Feature Extraction for Resource Constrained Robots.
Proceedings of the RoboCup 2013: Robot World Cup XVII [papers from the 17th Annual RoboCup International Symposium, 2013

Lifelong transfer learning with an option hierarchy.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Using wearable inertial sensors for posture and position tracking in unconstrained environments through learned translation manifolds.
Proceedings of the 12th International Conference on Information Processing in Sensor Networks (co-located with CPS Week 2013), 2013

Evaluating the effects of limited perception on interactive decisions in mixed robotic domains.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2013

Bayesian interaction shaping: learning to influence strategic interactions in mixed robotic domains.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Learning in non-stationary MDPs as transfer learning.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Ad hoc coordination in multiagent systems with applications to human-machine interaction.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

A game-theoretic model and best-response learning method for ad hoc coordination in multiagent systems.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Lifelong Learning of Structure in the Space of Policies.
Proceedings of the Lifelong Machine Learning, 2013

2012
Macroscopes: models for collective decision making
CoRR, 2012

What good are actions? Accelerating learning using learned action priors.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Induction and learning of finite-state controllers from simulation.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Comparative evaluation of MAL algorithms in a diverse set of ad hoc team problems.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

A Multitask Representation Using Reusable Local Policy Templates.
Proceedings of the Designing Intelligent Robots, 2012

2011
A characterization of the reconfiguration space of self-reconfiguring robotic systems.
Robotica, 2011

Learning spatial relationships between objects.
Int. J. Robotics Res., 2011

NaOISIS: A 3-D Behavioural Simulator for the NAO Humanoid Robot.
Proceedings of the RoboCup 2011: Robot Soccer World Cup XV [papers from the 15th Annual RoboCup International Symposium, 2011

Online Motion Planning for Multi-robot Interaction Using Composable Reachable Sets.
Proceedings of the RoboCup 2011: Robot Soccer World Cup XV [papers from the 15th Annual RoboCup International Symposium, 2011

Reinforcement Learning through Global Stochastic Search in N-MDPs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Intent inference and strategic escape in multi-robot games with physical limitations and uncertainty.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2010
Comparative study of segmentation of periodic motion data for mobile gait analysis.
Proceedings of Wireless Health 2010, 2010

Controlling humanoid robots in topology coordinates.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Constrained geodesic trajectory generation on learnt skill manifolds.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

A game-theoretic procedure for learning hierarchically structured strategies.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

An efficient algorithm for self-reconfiguration planning in a modular robot.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Geodesic trajectory generation on learnt skill manifolds.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

2009
Motion Synthesis through Randomized Exploration on Submanifolds of Configuration Space.
Proceedings of the RoboCup 2009: Robot Soccer World Cup XIII [papers from the 13th annual RoboCup International Symposium, Graz, Austria, June 29, 2009

A differential geometric approach to discrete-coefficient filter design.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Efficient, incremental coverage of space with a continuous curve.
Robotica, 2008

A Rapid Prototyping Tool for Embedded, Real-Time Hierarchical Control Systems.
EURASIP J. Embed. Syst., 2008

Trajectory generation for dynamic bipedal walking through qualitative model based manifold learning.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2006
Low-Discrepancy Curves and Efficient Coverage of Space.
Proceedings of the Algorithmic Foundation of Robotics VII, 2006

Qualitative Hybrid Control of Dynamic Bipedal Walking.
Proceedings of the Robotics: Science and Systems II, 2006

Designing safe, profitable automated stock trading agents using evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2003
Qualitative Heterogeneous Control of Higher Order Systems.
Proceedings of the Hybrid Systems: Computation and Control, 2003

2002
Qualitative Modeling and Heterogeneous Control of Global System Behavior.
Proceedings of the Hybrid Systems: Computation and Control, 5th International Workshop, 2002


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