Cluster, Allocate, Cover: An Efficient Approach for Multi-robot Coverage. - Avinash Gautam; J. Krishna Murthy 001; Gourav Kumar; S. P. Arjun Ram; Bhargav Jha; Sudeept Mohan (SMC, 2015)

Maxxyt: An Autonomous Wearable Device for Real-Time Tracking of a Wide Range of Exercises. - Danish Pruthi; Ayush Jain; Krishna Murthy Jatavallabhula; Ruppesh Nalwaya; Puneet Teja (UKSim, 2015)

Reconstructing Vechicles from a Single Image: Shape Priors for Road Scene Understanding. - J. Krishna Murthy 001; G. V. Sai Krishna; Falak Chhaya; K. Madhava Krishna (CoRR, 2016)

Reconstructing vehicles from a single image: Shape priors for road scene understanding. - J. Krishna Murthy 001; G. V. Sai Krishna; Falak Chhaya; K. Madhava Krishna (ICRA, 2017)

Shape priors for real-time monocular object localization in dynamic environments. - J. Krishna Murthy 001; Sarthak Sharma; K. Madhava Krishna (IROS, 2017)

FAST - Synchronous Frontier Allocation for Scalable Online Multi-Robot Terrain Coverage. - Avinash Gautam; Bhargav Jha; Gourav Kumar; J. Krishna Murthy 001; S. P. Arjun Ram; Sudeept Mohan (J. Intell. Robotic Syst., 2017)

Geometric Consistency for Self-Supervised End-to-End Visual Odometry. - Ganesh Iyer; J. Krishna Murthy 001; Gunshi Gupta; K. Madhava Krishna; Liam Paull (CVPR Workshops, 2018)

Constructing Category-Specific Models for Monocular Object-SLAM. - Parv Parkhiya; Rishabh Khawad; J. Krishna Murthy 001; Brojeshwar Bhowmick; K. Madhava Krishna (ICRA, 2018)

Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking. - Sarthak Sharma; Junaid Ahmed Ansari; J. Krishna Murthy 001; K. Madhava Krishna (ICRA, 2018)

The Earth Ain't Flat: Monocular Reconstruction of Vehicles on Steep and Graded Roads from a Moving Camera. - Junaid Ahmed Ansari; Sarthak Sharma; Anshuman Majumdar; J. Krishna Murthy 001; K. Madhava Krishna (IROS, 2018)

CalibNet: Geometrically Supervised Extrinsic Calibration using 3D Spatial Transformer Networks. - Ganesh Iyer; Karnik Ram R.; J. Krishna Murthy 001; K. Madhava Krishna (IROS, 2018)

CalibNet: Self-Supervised Extrinsic Calibration using 3D Spatial Transformer Networks. - Ganesh Iyer; Karnik Ram R.; J. Krishna Murthy 001; K. Madhava Krishna (CoRR, 2018)

INFER: INtermediate representations for FuturE pRediction. - Shashank Srikanth; Junaid Ahmed Ansari; Karnik Ram R.; Sarthak Sharma; J. Krishna Murthy 001; K. Madhava Krishna (IROS, 2019)

Deep Active Localization. - Sai Krishna; Keehong Seo; Dhaivat Bhatt; Vincent Mai; J. Krishna Murthy 001; Liam Paull (CoRR, 2019)

gradSLAM: Dense SLAM meets Automatic Differentiation. - Krishna Murthy Jatavallabhula; Ganesh Iyer; Liam Paull (CoRR, 2019)

Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research. - Krishna Murthy Jatavallabhula; Edward J. Smith; Jean-Francois Lafleche; Clement Fuji Tsang; Artem Rozantsev; Wenzheng Chen; Tommy Xiang; Rev Lebaredian; Sanja Fidler (CoRR, 2019)

Deep Active Localization. - Sai Krishna Gottipati; Keehong Seo; Dhaivat Bhatt; Vincent Mai; Krishna Murthy 001; Liam Paull (IEEE Robotics Autom. Lett., 2019)

Reconstruct, Rasterize and Backprop: Dense shape and pose estimation from a single image. - Aniket Pokale; Aditya Aggarwal; Krishna Murthy Jatavallabhula; K. Madhava Krishna (CVPR Workshops, 2020)

∇SLAM: Dense SLAM meets Automatic Differentiation. - Krishna Murthy Jatavallabhula; Ganesh Iyer; Liam Paull (ICRA, 2020)

AutoLay: Benchmarking amodal layout estimation for autonomous driving. - Kaustubh Mani; Narasimhan Sai Shankar; Krishna Murthy Jatavallabhula; K. Madhava Krishna (IROS, 2020)

Multi-object Monocular SLAM for Dynamic Environments. - Gokul B. Nair; Swapnil Daga; Rahul Sajnani; Anirudha Ramesh; Junaid Ahmed Ansari; Krishna Murthy Jatavallabhula; K. Madhava Krishna (IV, 2020)

Mono Lay out: Amodal scene layout from a single image. - Kaustubh Mani; Swapnil Daga; Shubhika Garg; Narasimhan Sai Shankar; J. Krishna Murthy 001; K. Madhava Krishna (WACV, 2020)

MonoLayout: Amodal scene layout from a single image. - Kaustubh Mani; Swapnil Daga; Shubhika Garg; Narasimhan Sai Shankar; Krishna Murthy Jatavallabhula; K. Madhava Krishna (CoRR, 2020)

RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers. - Saeid Asgari Taghanaki; Jieliang Luo; Ran Zhang; Ye Wang 008; Pradeep Kumar Jayaraman; Krishna Murthy Jatavallabhula (CoRR, 2020)

MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map. - Teddy Ort; Krishna Murthy 001; Rohan Banerjee; Sai Krishna Gottipati; Dhaivat Bhatt; Igor Gilitschenski; Liam Paull; Daniela Rus (IEEE Robotics Autom. Lett., 2020)

Taskography: Evaluating robot task planning over large 3D scene graphs. - Christopher Agia; Krishna Murthy Jatavallabhula; Mohamed Khodeir; Ondrej Miksik; Vibhav Vineet; Mustafa Mukadam; Liam Paull; Florian Shkurti (CoRL, 2021)

gradSim: Differentiable simulation for system identification and visuomotor control. - J. Krishna Murthy 001; Miles Macklin; Florian Golemo; Vikram Voleti; Linda Petrini; Martin Weiss; Breandan Considine; Jérôme Parent-Lévesque; Kevin Xie; Kenny Erleben; Liam Paull; Florian Shkurti; et al. (ICLR, 2021)

DRACO: Weakly Supervised Dense Reconstruction And Canonicalization of Objects. - Rahul Sajnani; AadilMehdi J. Sanchawala; Krishna Murthy Jatavallabhula; Srinath Sridhar 002; K. Madhava Krishna (ICRA, 2021)

$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception. - Dhaivat Bhatt; Kaustubh Mani; Dishank Bansal; Krishna Murthy Jatavallabhula; Hanju Lee; Liam Paull (CoRR, 2021)

Rethinking Optimization with Differentiable Simulation from a Global Perspective. - Rika Antonova; Jingyun Yang; Krishna Murthy Jatavallabhula; Jeannette Bohg (CoRL, 2022)

Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming. - Krishna Murthy Jatavallabhula; Miles Macklin; Dieter Fox; Animesh Garg; Fabio Ramos 001 (CoRL, 2022)

f-Cal: Aleatoric uncertainty quantification for robot perception via calibrated neural regression. - Dhaivat Bhatt; Kaustubh Mani; Dishank Bansal; Krishna Murthy Jatavallabhula; Hanju Lee; Liam Paull (ICRA, 2022)

Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares. - Dominik Muhle; Lukas Koestler; Krishna Murthy Jatavallabhula; Daniel Cremers (CVPR, 2023)

PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. - Xuan Li; Yi-Ling Qiao; Peter Yichen Chen; Krishna Murthy Jatavallabhula; Ming C. Lin; Chenfanfu Jiang; Chuang Gan 001 (ICLR, 2023)

CLIPGraphs: Multimodal Graph Networks to Infer Object-Room Affinities. - Ayush Agrawal; Raghav Arora; Ahana Datta; Snehasis Banerjee; Brojeshwar Bhowmick; Krishna Murthy Jatavallabhula; Mohan Sridharan; K. Madhava Krishna (RO-MAN, 2023)

Instance-Level Semantic Maps for Vision Language Navigation. - Laksh Nanwani; Anmol Agarwal; Kanishk Jain; Raghav Prabhakar; Aaron Monis; Aditya Mathur; Krishna Murthy Jatavallabhula; A. H. Abdul Hafez; Vineet Gandhi; K. Madhava Krishna (RO-MAN, 2023)

ConceptFusion: Open-set multimodal 3D mapping. - Krishna Murthy Jatavallabhula; Alihusein Kuwajerwala; Qiao Gu; Mohd. Omama; Ganesh Iyer; Soroush Saryazdi; Tao Chen 046; Alaa Maalouf; Shuang Li 013; Nikhil Varma Keetha; Ayush Tewari; Joshua B. Tenenbaum; et al. (Robotics: Science and Systems, 2023)

ConceptFusion: Open-set Multimodal 3D Mapping. - Krishna Murthy Jatavallabhula; Alihusein Kuwajerwala; Qiao Gu; Mohd. Omama; Tao Chen 046; Shuang Li 013; Ganesh Iyer; Soroush Saryazdi; Nikhil Varma Keetha; Ayush Tewari; Joshua B. Tenenbaum; Celso Miguel de Melo; et al. (CoRR, 2023)

Follow Anything: Open-set detection, tracking, and following in real-time. - Alaa Maalouf; Ninad Jadhav; Krishna Murthy Jatavallabhula; Makram Chahine; Daniel M. Vogt; Robert J. Wood; Antonio Torralba 001; Daniela Rus (CoRR, 2023)

Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving. - Vikrant Dewangan; Tushar Choudhary; Shivam Chandhok; Shubham Priyadarshan; Anushka Jain; Arun Kumar Singh 001; Siddharth Srivastava 004; Krishna Murthy Jatavallabhula; K. Madhava Krishna (CoRR, 2023)

ALT-Pilot: Autonomous navigation with Language augmented Topometric maps. - Mohammad Omama; Pranav Inani; Pranjal Paul; Sarat Chandra Yellapragada; Krishna Murthy Jatavallabhula; Sandeep Chinchali; K. Madhava Krishna (CoRR, 2023)

Differentiable visual computing for inverse problems and machine learning. - Andrew Spielberg; Fangcheng Zhong; Konstantinos Rematas; Krishna Murthy Jatavallabhula; Cengiz Öztireli; Tzu-Mao Li; Derek Nowrouzezahrai (Nat. Mac. Intell., 2023)

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM. - Nikhil Varma Keetha; Jay Karhade; Krishna Murthy Jatavallabhula; Gengshan Yang; Sebastian A. Scherer; Deva Ramanan; Jonathon Luiten (CVPR, 2024)

Anticipate & Act: Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments†. - Raghav Arora; Shivam Singh; Karthik Swaminathan; Ahana Datta; Snehasis Banerjee; Brojeshwar Bhowmick; Krishna Murthy Jatavallabhula; Mohan Sridharan; K. Madhava Krishna (ICRA, 2024)

Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving. - Tushar Choudhary; Vikrant Dewangan; Shivam Chandhok; Shubham Priyadarshan; Anushka Jain; Arun K. Singh; Siddharth Srivastava 004; Krishna Murthy Jatavallabhula; K. Madhava Krishna (ICRA, 2024)

ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. - Qiao Gu; Ali Kuwajerwala; Sacha Morin; Krishna Murthy Jatavallabhula; Bipasha Sen; Aditya Agarwal; Corban Rivera; William Paul; Kirsty Ellis; Rama Chellappa; Chuang Gan 001; Celso Miguel de Melo; et al. (ICRA, 2024)

Tactile Estimation of Extrinsic Contact Patch for Stable Placement. - Kei Ota; Devesh K. Jha; Krishna Murthy Jatavallabhula; Asako Kanezaki; Joshua B. Tenenbaum (ICRA, 2024)

Efficient 3D Instance Mapping and Localization with Neural Fields. - George Tang; Krishna Murthy Jatavallabhula; Antonio Torralba 001 (ICRA, 2024)

PickScan: Object discovery and reconstruction from handheld interactions. - Vincent van der Brugge; Marc Pollefeys; Joshua B. Tenenbaum; Krishna Murthy Jatavallabhula; Ayush Tewari (IROS, 2024)

ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution. - Corban Rivera; Grayson Byrd; William Paul; Tyler Feldman; Meghan Booker; Emma Holmes; David Handelman; Bethany Kemp; Andrew Badger; Aurora Schmidt; Krishna Murthy Jatavallabhula; Celso M. de Melo; et al. (CoRR, 2024)

Gaussian Splatting Visual MPC for Granular Media Manipulation. - Wei-Cheng Tseng; Ellina Zhang; Krishna Murthy Jatavallabhula; Florian Shkurti (CoRR, 2024)

Follow Anything: Open-Set Detection, Tracking, and Following in Real-Time. - Alaa Maalouf; Ninad Jadhav; Krishna Murthy Jatavallabhula; Makram Chahine; Daniel M. Vogt; Robert J. Wood; Antonio Torralba 001; Daniela Rus (IEEE Robotics Autom. Lett., 2024)

AnyLoc: Towards Universal Visual Place Recognition. - Nikhil Varma Keetha; Avneesh Mishra; Jay Karhade; Krishna Murthy Jatavallabhula; Sebastian A. Scherer; K. Madhava Krishna; Sourav Garg (IEEE Robotics Autom. Lett., 2024)

Anticipate & Act : Integrating LLMs and Classical Planning for Efficient Task Execution in Household Environments. - Raghav Arora; Shivam Singh; Karthik Swaminathan; Ahana Datta; Snehasis Banerjee; Brojeshwar Bhowmick; Krishna Murthy Jatavallabhula; Mohan Sridharan; K. Madhava Krishna (CoRR, 2025)

SparseLoc: Sparse Open-Set Landmark-based Global Localization for Autonomous Navigation. - Pranjal Paul; Vineeth Bhat; Tejas Salian; Mohammad Omama; Krishna Murthy Jatavallabhula; Naveen Arulselvan; K. Madhava Krishna (CoRR, 2025)

Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D. - Sergio Arnaud; Paul McVay; Ada Martin; Arjun Majumdar; Krishna Murthy Jatavallabhula; Phillip Thomas; Ruslan Partsey; Daniel Dugas; Abha Gejji; Alexander Sax; Vincent-Pierre Berges; Mikael Henaff; et al. (CoRR, 2025)

STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent. - Yewon Lee; Andrew Zou Li; Philip Huang; Eric Heiden; Krishna Murthy Jatavallabhula; Fabian Damken; Kevin Smith; Derek Nowrouzezahrai; Fabio Ramos 001; Florian Shkurti (IEEE Robotics Autom. Lett., 2025)