Brijen Thananjeyan

Orcid: 0000-0003-1841-5071

According to our database1, Brijen Thananjeyan authored at least 42 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Automating Surgical Peg Transfer: Calibration With Deep Learning Can Exceed Speed, Accuracy, and Consistency of Humans.
IEEE Trans Autom. Sci. Eng., April, 2023

2022
Safe Reinforcement Learning Using Learned Safe Sets
PhD thesis, 2022

All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators.
CoRR, 2022

Autonomously Untangling Long Cables.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

All You Need is LUV: Unsupervised Collection of Labeled Images Using UV-Fluorescent Markings.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning to Localize, Grasp, and Hand Over Unmodified Surgical Needles.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision.
Proceedings of the Conference on Robot Learning, 2022

A Digital Twin Framework for Telesurgery in the Presence of Varying Network Quality of Service.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021
Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.
IEEE Robotics Autom. Lett., 2021

MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance.
CoRR, 2021

LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Iterative Tasks.
CoRR, 2021

PAC Best Arm Identification Under a Deadline.
CoRR, 2021

ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions.
Proceedings of the Algorithmic Foundations of Robotics XIV, 2021

Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Disentangling Dense Multi-Cable Knots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism.
Proceedings of the 38th International Conference on Machine Learning, 2021

LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

LazyDAgger: Reducing Context Switching in Interactive Imitation Learning.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020
Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks.
IEEE Robotics Autom. Lett., 2020

Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Fiducial Sensing and Recurrent Neural Networks.
IEEE Robotics Autom. Lett., 2020

Superhuman Surgical Peg Transfer Using Depth-Sensing and Deep Recurrent Neural Networks.
CoRR, 2020

Untangling Dense Knots by Learning Task-Relevant Keypoints.
CoRR, 2020

Resource Allocation in Multi-armed Bandit Exploration: Overcoming Nonlinear Scaling with Adaptive Parallelism.
CoRR, 2020

MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects.
CoRR, 2020

Learning to Smooth and Fold Real Fabric Using Dense Object Descriptors Trained on Synthetic Color Images.
CoRR, 2020

Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Sensing, Temporal Windowing, and Linear and Recurrent Neural Network Compensation.
CoRR, 2020

Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot.
Proceedings of the International Symposium on Medical Robotics, 2020

Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Untangling Dense Knots by Learning Task-Relevant Keypoints.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards.
Int. J. Robotics Res., 2019

Deep Imitation Learning of Sequential Fabric Smoothing Policies.
CoRR, 2019

Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations.
CoRR, 2019

Optimizing Robot-Assisted Surgery Suture Plans to Avoid Joint Limits and Singularities.
Proceedings of the International Symposium on Medical Robotics, 2019

On-Policy Robot Imitation Learning from a Converging Supervisor.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Automated Extraction of Surgical Needles from Tissue Phantoms.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

2017
Multilateral surgical pattern cutting in 2D orthotropic gauze with deep reinforcement learning policies for tensioning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
SWIRL: A SequentialWindowed Inverse Reinforcement Learning Algorithm for Robot Tasks With Delayed Rewards.
Proceedings of the Algorithmic Foundations of Robotics XII, 2016


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