Ajay Kumar Tanwani

According to our database1, Ajay Kumar Tanwani authored at least 33 papers between 2009 and 2022.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
VisuoSpatial Foresight for physical sequential fabric manipulation.
Auton. Robots, 2022

2021
Sequential robot imitation learning from observations.
Int. J. Robotics Res., 2021

Dynamic regret convergence analysis and an adaptive regularization algorithm for on-policy robot imitation learning.
Int. J. Robotics Res., 2021

2020
RILaaS: Robot Inference and Learning as a Service.
IEEE Robotics Autom. Lett., 2020

VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation.
Proceedings of the Robotics: Science and Systems XVI, 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

Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer.
Proceedings of the 4th Conference on Robot Learning, 2020

Robust Task-Based Grasping as a Service.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking.
Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019
Small-variance asymptotics for non-parametric online robot learning.
Int. J. Robotics Res., 2019

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

Mitigating Network Latency in Cloud-Based Teleoperation Using Motion Segmentation and Synthesis.
Proceedings of the Robotics Research, 2019

Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making.
Proceedings of the Robotics Research, 2019

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

A Fog Robotic System for Dynamic Visual Servoing.
Proceedings of the International Conference on Robotics and Automation, 2019

A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering.
Proceedings of the International Conference on Robotics and Automation, 2019

Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Generative Models for Learning Robot Manipulation Skills from Humans.
PhD thesis, 2018

Dexterous Underwater Manipulation from Onshore Locations: Streamlining Efficiencies for Remotely Operated Underwater Vehicles.
IEEE Robotics Autom. Mag., 2018

Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric.
CoRR, 2018

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

A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Dex-Net as a Service (DNaaS): A Cloud-Based Robust Robot Grasp Planning System.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2017
A generative model for intention recognition and manipulation assistance in teleoperation.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
Learning Robot Manipulation Tasks With Task-Parameterized Semitied Hidden Semi-Markov Model.
IEEE Robotics Autom. Lett., 2016

2014
Rewards-driven control of robot arm by decoding EEG signals.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Transfer in inverse reinforcement learning for multiple strategies.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2009
Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets.
Proceedings of the Learning Classifier Systems, 2009

Performance evaluation of evolutionary algorithms in classification of biomedical datasets.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

IMAD: in-execution malware analysis and detection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets.
Proceedings of the Evolutionary Computation, 2009

The Role of Biomedical Dataset in Classification.
Proceedings of the Artificial Intelligence in Medicine, 2009


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