Krishan Rana

According to our database, Krishan Rana authored at least 16 papers between 1988 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Bayesian controller fusion: Leveraging control priors in deep reinforcement learning for robotics.

Krishan Rana, Vibhavari Dasagi, Jesse Haviland, Ben Talbot, Michael Milford, Niko Sünderhauf

Int. J. Robotics Res., March, 2023

LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments.

Federico Ceola, Lorenzo Natale, Niko Sünderhauf, Krishan Rana

CoRR, 2023

SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Task Planning.

Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian D. Reid, Niko Sünderhauf

CoRR, 2023

Contrastive Language, Action, and State Pre-training for Robot Learning.

Krishan Rana, Andrew Melnik, Niko Sünderhauf

CoRR, 2023

SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning.

Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian D. Reid, Niko Sünderhauf

Proceedings of the Conference on Robot Learning, 2023

2022

Design of a focused light field fundus camera for retinal imaging.

Thomas Coppin, Douglas W. Palmer, Krishan Rana, Donald G. Dansereau, Michael J. Collins, David A. Atchison, Jonathan Roberts, Ross Crawford, Anjali Tumkur Jaiprakash

Signal Process. Image Commun., 2022

Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics.

Krishan Rana, Ming Xu, Brendan Tidd, Michael Milford, Niko Sünderhauf

Proceedings of the Conference on Robot Learning, 2022

2021

Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots.

Krishan Rana, Vibhavari Dasagi, Jesse Haviland, Ben Talbot, Michael Milford, Niko Sünderhauf

CoRR, 2021

Critic Guided Segmentation of Rewarding Objects in First-Person Views.

Andrew Melnik, Augustin Harter, Christian Limberg, Krishan Rana, Niko Sünderhauf, Helge J. Ritter

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

2020

Multiplicative Controller Fusion: A Hybrid Navigation Strategy For Deployment in Unknown Environments.

Krishan Rana, Vibhavari Dasagi, Ben Talbot, Michael Milford, Niko Sünderhauf

CoRR, 2020

Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer.

Krishan Rana, Vibhavari Dasagi, Ben Talbot, Michael Milford, Niko Sünderhauf

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments.

Krishan Rana, Ben Talbot, Vibhavari Dasagi, Michael Milford, Niko Sünderhauf

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments.

Krishan Rana, Ben Talbot, Michael Milford, Niko Sünderhauf

CoRR, 2019

1992

A decomposition technique for mixed integer programming problems.

Krishan Rana

Comput. Oper. Res., 1992

1991

Routing Container Ships Using Lagrangean Relaxation and Decomposition.

Krishan Rana, R. G. Vickson

Transp. Sci., 1991

1988

A Model and Solution Algorithm for Optimal Routing of a Time-Chartered Containership.

Krishan Rana, Raymond G. Vickson

Transp. Sci., 1988