A Model and Solution Algorithm for Optimal Routing of a Time-Chartered Containership. - Krishan Rana; Raymond G. Vickson (Transp. Sci., 1988)

Routing Container Ships Using Lagrangean Relaxation and Decomposition. - Krishan Rana; R. G. Vickson (Transp. Sci., 1991)

A decomposition technique for mixed integer programming problems. - Krishan Rana (Comput. Oper. Res., 1992)

Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments. - Krishan Rana; Ben Talbot; Michael Milford; Niko Sünderhauf (CoRR, 2019)

Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments. - Krishan Rana; Ben Talbot; Vibhavari Dasagi; Michael Milford; Niko Sünderhauf (ICRA, 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 (IROS, 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)

Critic Guided Segmentation of Rewarding Objects in First-Person Views. - Andrew Melnik; Augustin Harter; Christian Limberg; Krishan Rana; Niko Sünderhauf; Helge J. Ritter (KI, 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)

Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics. - Krishan Rana; Ming Xu 015; Brendan Tidd; Michael Milford; Niko Sünderhauf (CoRL, 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 001; David A. Atchison; Jonathan Roberts 001; Ross Crawford; Anjali Tumkur Jaiprakash (Signal Process. Image Commun., 2022)

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 001; Niko Sünderhauf (CoRL, 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 Task Planning. - Krishan Rana; Jesse Haviland; Sourav Garg; Jad Abou-Chakra; Ian D. Reid 001; Niko Sünderhauf (CoRR, 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)

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., 2023)

Physically Embodied Gaussian Splatting: A Visually Learnt and Physically Grounded 3D Representation for Robotics. - Jad Abou-Chakra; Krishan Rana; Feras Dayoub; Niko Sünderhauf (CoRL, 2024)

RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation. - Sourav Garg; Krishan Rana; Mehdi Hosseinzadeh 003; Lachlan Mares; Niko Sünderhauf; Feras Dayoub; Ian D. Reid 001 (ICRA, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Physically Embodied Gaussian Splatting: A Realtime Correctable World Model for Robotics. - Jad Abou-Chakra; Krishan Rana; Feras Dayoub; Niko Sünderhauf (CoRR, 2024)

Affordance-Centric Policy Learning: Sample Efficient and Generalisable Robot Policy Learning using Affordance-Centric Task Frames. - Krishan Rana; Jad Abou-Chakra; Sourav Garg; Robert Lee; Ian D. Reid 001; Niko Sünderhauf (CoRR, 2024)

Multi-Modal 3D Scene Graph Updater for Shared and Dynamic Environments. - Emilio Olivastri; Jonathan Francis; Alberto Pretto; Niko Sünderhauf; Krishan Rana (CoRR, 2024)

IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation. - Krishan Rana; Robert Lee; David Pershouse; Niko Sünderhauf (CoRR, 2025)

Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin for Real-World Robot Policy Evaluation. - Jad Abou-Chakra; Lingfeng Sun; Krishan Rana; Brandon B. May; Karl Schmeckpeper; Maria Vittoria Minniti; Laura Herlant (CoRR, 2025)