DSRP: Distributed SensorWeb Routing Protocol. - Abhinav Valada; David Kohanbash; George Kantor (CONIELECOMP, 2011)

Real-world testing of a multi-robot team. - Paul Scerri; Prasanna Velagapudi; Balajee Kannan; Abhinav Valada; Christopher Tomaszewski; John M. Dolan; Adrian Scerri; Kumar Shaurya Shankar; Luis Bill; George Kantor (AAMAS, 2012)

Development of a Low Cost Multi-Robot Autonomous Marine Surface Platform. - Abhinav Valada; Prasanna Velagapudi; Balajee Kannan; Christopher Tomaszewski; George Kantor; Paul Scerri (FSR, 2012)

An Intelligent Approach to Hysteresis Compensation while Sampling Using a Fleet of Autonomous Watercraft. - Abhinav Valada; Christopher Tomaszewski; Balajee Kannan; Prasanna Velagapudi; George Kantor; Paul Scerri (ICIRA (2), 2012)

Deep Feature Learning for Acoustics-Based Terrain Classification. - Abhinav Valada; Luciano Spinello; Wolfram Burgard (ISRR (2), 2015)

Autonomous indoor robot navigation using a sketch interface for drawing maps and routes. - Federico Boniardi; Abhinav Valada; Wolfram Burgard; Gian Diego Tipaldi (ICRA, 2016)

Deep learning for human part discovery in images. - Gabriel L. Oliveira; Abhinav Valada; Claas Bollen; Wolfram Burgard; Thomas Brox (ICRA, 2016)

Deep Multispectral Semantic Scene Understanding of Forested Environments Using Multimodal Fusion. - Abhinav Valada; Gabriel L. Oliveira; Thomas Brox; Wolfram Burgard (ISER, 2016)

AdapNet: Adaptive semantic segmentation in adverse environmental conditions. - Abhinav Valada; Johan Vertens; Ankit Dhall; Wolfram Burgard (ICRA, 2017)

SMSnet: Semantic motion segmentation using deep convolutional neural networks. - Johan Vertens; Abhinav Valada; Wolfram Burgard (IROS, 2017)

Perspectives on Deep Multimodel Robot Learning. - Wolfram Burgard; Abhinav Valada; Noha Radwan; Tayyab Naseer; Jingwei Zhang 001; Johan Vertens; Oier Mees; Andreas Eitel; Gabriel L. Oliveira (ISRR, 2017)

Deep spatiotemporal models for robust proprioceptive terrain classification. - Abhinav Valada; Wolfram Burgard (Int. J. Robotics Res., 2017)

Deep Auxiliary Learning for Visual Localization and Odometry. - Abhinav Valada; Noha Radwan; Wolfram Burgard (ICRA, 2018)

Vision-based Autonomous Landing in Catastrophe-Struck Environments. - Mayank Mittal; Abhinav Valada; Wolfram Burgard (CoRR, 2018)

VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry. - Noha Radwan; Abhinav Valada; Wolfram Burgard (IEEE Robotics Autom. Lett., 2018)

Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network. - Federico Boniardi; Abhinav Valada; Rohit Mohan; Tim Caselitz; Wolfram Burgard (IROS, 2019)

Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue. - Mayank Mittal; Rohit Mohan; Wolfram Burgard; Abhinav Valada (ISRR, 2019)

Discovering and leveraging deep multimodal structure for reliable robot perception and localization - Abhinav Valada (2019)

MOPT: Multi-Object Panoptic Tracking. - Juana Valeria Hurtado; Rohit Mohan; Abhinav Valada (CoRR, 2020)

CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps. - Daniele Cattaneo 001; Domenico Giorgio Sorrenti; Abhinav Valada (CoRR, 2020)

Robust Vision Challenge 2020 - 1st Place Report for Panoptic Segmentation. - Rohit Mohan; Abhinav Valada (CoRR, 2020)

Self-Supervised Model Adaptation for Multimodal Semantic Segmentation. - Abhinav Valada; Rohit Mohan; Wolfram Burgard (Int. J. Comput. Vis., 2020)

Multimodal interaction-aware motion prediction for autonomous street crossing. - Noha Radwan; Wolfram Burgard; Abhinav Valada (Int. J. Robotics Res., 2020)

There Is More Than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking With Sound by Distilling Multimodal Knowledge. - Francisco Rivera Valverde; Juana Valeria Hurtado; Abhinav Valada (CVPR, 2021)

LCDNet: Deep Loop Closure Detection for LiDAR SLAM based on Unbalanced Optimal Transport. - Daniele Cattaneo 001; Matteo Vaghi; Abhinav Valada (CoRR, 2021)

7th AI Driving Olympics: 1st Place Report for Panoptic Tracking. - Rohit Mohan; Abhinav Valada (CoRR, 2021)

Contrastive Object Detection Using Knowledge Graph Embeddings. - Christopher Lang; Alexander Braun; Abhinav Valada (CoRR, 2021)

From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation. - Juana Valeria Hurtado; Laura Londoño; Abhinav Valada (Frontiers Robotics AI, 2021)

EfficientPS: Efficient Panoptic Segmentation. - Rohit Mohan; Abhinav Valada (Int. J. Comput. Vis., 2021)

Learning Kinematic Feasibility for Mobile Manipulation Through Deep Reinforcement Learning. - Daniel Honerkamp; Tim Welschehold; Abhinav Valada (IEEE Robotics Autom. Lett., 2021)

Multi-Perspective Anomaly Detection. - Peter Jakob; Manav Madan; Tobias Schmid-Schirling; Abhinav Valada (Sensors, 2021)

Self-Supervised Visual Terrain Classification From Unsupervised Acoustic Feature Learning. - Jannik Zürn; Wolfram Burgard; Abhinav Valada (IEEE Trans. Robotics, 2021)

Amodal Panoptic Segmentation. - Rohit Mohan; Abhinav Valada (CVPR, 2022)

On Hyperbolic Embeddings in Object Detection. - Christopher Lang; Alexander Braun; Lars Schillingmann; Abhinav Valada (GCPR, 2022)

Robust Object Detection Using Knowledge Graph Embeddings. - Christopher Lang; Alexander Braun; Abhinav Valada (GCPR, 2022)

Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models. - Iman Nematollahi; Erick Rosete-Beas; Adrian Röfer; Tim Welschehold; Abhinav Valada; Wolfram Burgard (ICRA, 2022)

OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. - Nikolaos Passalis; S. Pedrazzi; Robert Babuska; Wolfram Burgard; D. Dias; F. Ferro; Moncef Gabbouj; O. Green; Alexandros Iosifidis; Erdal Kayacan; Jens Kober; O. Michel; et al. (IROS, 2022)

Learning Long-Horizon Robot Exploration Strategies for Multi-object Search in Continuous Action Spaces. - Fabian Schmalstieg; Daniel Honerkamp; Tim Welschehold; Abhinav Valada (ISRR, 2022)

Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping Through Continual Learning. - Niclas Vödisch; Daniele Cattaneo 001; Wolfram Burgard; Abhinav Valada (ISRR, 2022)

Doing Right by Not Doing Wrong in Human-Robot Collaboration. - Laura Londoño; Adrian Röfer; Tim Welschehold; Abhinav Valada (CoRR, 2022)

Neural Architecture Search for Dense Prediction Tasks in Computer Vision. - Thomas Elsken; Arber Zela; Jan Hendrik Metzen; Benedikt Staffler; Thomas Brox; Abhinav Valada; Frank Hutter (CoRR, 2022)

On Hyperbolic Embeddings in 2D Object Detection. - Christopher Lang; Alexander Braun; Abhinav Valada (CoRR, 2022)

Self-Supervised Learning of Multi-Object Keypoints for Robotic Manipulation. - Jan Ole von Hartz; Eugenio Chisari; Tim Welschehold; Abhinav Valada (CoRR, 2022)

N2M2: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments. - Daniel Honerkamp; Tim Welschehold; Abhinav Valada (CoRR, 2022)

RobotIO: A Python Library for Robot Manipulation Experiments. - Lukás Hermann; Max Argus; Adrian Röfer; Abhinav Valada; Thomas Brox; Wolfram Burgard (CoRR, 2022)

Active Particle Filter Networks: Efficient Active Localization in Continuous Action Spaces and Large Maps. - Daniel Honerkamp; Suresh Guttikonda; Abhinav Valada (CoRR, 2022)

Interactive Imitation Learning in Robotics: A Survey. - Carlos Celemin; Rodrigo Pérez-Dattari; Eugenio Chisari; Giovanni Franzese; Leandro de Souza Rosa; Ravi Prakash 002; Zlatan Ajanovic; Marta Ferraz; Abhinav Valada; Jens Kober (Found. Trends Robotics, 2022)

Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation. - Borna Besic; Nikhil Gosala; Daniele Cattaneo 001; Abhinav Valada (IEEE Robotics Autom. Lett., 2022)

3D Multi-Object Tracking Using Graph Neural Networks With Cross-Edge Modality Attention. - Martin Büchner; Abhinav Valada (IEEE Robotics Autom. Lett., 2022)

Correct Me If I am Wrong: Interactive Learning for Robotic Manipulation. - Eugenio Chisari; Tim Welschehold; Joschka Boedecker; Wolfram Burgard; Abhinav Valada (IEEE Robotics Autom. Lett., 2022)

Panoptic Nuscenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking. - Whye Kit Fong; Rohit Mohan; Juana Valeria Hurtado; Lubing Zhou; Holger Caesar; Oscar Beijbom; Abhinav Valada (IEEE Robotics Autom. Lett., 2022)

Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images. - Nikhil Gosala; Abhinav Valada (IEEE Robotics Autom. Lett., 2022)

Perceiving the Invisible: Proposal-Free Amodal Panoptic Segmentation. - Rohit Mohan; Abhinav Valada (IEEE Robotics Autom. Lett., 2022)

Kineverse: A Symbolic Articulation Model Framework for Model-Agnostic Mobile Manipulation. - Adrian Röfer; Georg Bartels; Wolfram Burgard; Abhinav Valada; Michael Beetz (IEEE Robotics Autom. Lett., 2022)

Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning. - Borna Besic; Abhinav Valada (IEEE Trans. Intell. Veh., 2022)

LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM. - Daniele Cattaneo 001; Matteo Vaghi; Abhinav Valada (IEEE Trans. Robotics, 2022)

EfficientLPS: Efficient LiDAR Panoptic Segmentation. - Kshitij Sirohi; Rohit Mohan; Daniel Büscher; Wolfram Burgard; Abhinav Valada (IEEE Trans. Robotics, 2022)

Learning and Aggregating Lane Graphs for Urban Automated Driving. - Martin Büchner; Jannik Zürn; Ion-George Todoran; Abhinav Valada; Wolfram Burgard (CVPR, 2023)

SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images. - Nikhil Gosala; Kürsat Petek; Paulo L. J. Drews-Jr; Wolfram Burgard; Abhinav Valada (CVPR, 2023)

CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects. - Nick Heppert; Muhammad Zubair Irshad; Sergey Zakharov; Katherine Liu; Rares Andrei Ambrus; Jeannette Bohg; Abhinav Valada; Thomas Kollar (CVPR, 2023)

CoVIO: Online Continual Learning for Visual-Inertial Odometry. - Niclas Vödisch; Daniele Cattaneo 001; Wolfram Burgard; Abhinav Valada (CVPR Workshops, 2023)

A Smart Robotic System for Industrial Plant Supervision. - D. Adriana Gómez-Rosal; Max Bergau; Georg K. J. Fischer; Andreas Wachaja; Johannes Grater; Matthias Odenweller; Uwe Piechottka; Fabian Hoeflinger; Nikhil Gosala; Niklas Wetzel; Daniel Büscher; Abhinav Valada; et al. (SENSORS, 2023)

EvCenterNet: Uncertainty Estimation for Object Detection Using Evidential Learning. - Monish R. Nallapareddy; Kshitij Sirohi; Paulo Lilles Jorge Drews; Wolfram Burgard; Chih-Hong Cheng; Abhinav Valada (IROS, 2023)

Efficient Learning of Urban Driving Policies Using Bird'View State Representations. - Raphael Trumpp; Martin Büchner; Abhinav Valada; Marco Caccamo (ITSC, 2023)

CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation. - Niclas Vödisch; Kürsat Petek; Wolfram Burgard; Abhinav Valada (Robotics: Science and Systems, 2023)

Self-Supervised Multi-Object Tracking From Consistency Across Timescales. - Christopher Lang; Alexander Braun; Lars Schillingmann; Abhinav Valada (CoRR, 2023)

Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations. - Raphael Trumpp; Martin Büchner; Abhinav Valada; Marco Caccamo (CoRR, 2023)

Multi-camera Bird's Eye View Perception for Autonomous Driving. - David Unger; Nikhil Gosala; Varun Ravi Kumar; Shubhankar Borse; Abhinav Valada; Senthil Kumar Yogamani (CoRR, 2023)

Catch Me if You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments With Moving Sounds. - Abdelrahman Younes; Daniel Honerkamp; Tim Welschehold; Abhinav Valada (IEEE Robotics Autom. Lett., 2023)

PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention. - José Arce; Niclas Vödisch; Daniele Cattaneo 001; Wolfram Burgard; Abhinav Valada (IEEE Robotics Autom. Lett., 2023)

Neural Architecture Search for Dense Prediction Tasks in Computer Vision. - Rohit Mohan; Thomas Elsken; Arber Zela; Jan Hendrik Metzen; Benedikt Staffler; Thomas Brox; Abhinav Valada; Frank Hutter (Int. J. Comput. Vis., 2023)

INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields. - Julia Hindel; Nikhil Gosala; Kevin Bregler; Abhinav Valada (IEEE Robotics Autom. Lett., 2023)

N$^{2}$M$^{2}$: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments. - Daniel Honerkamp; Tim Welschehold; Abhinav Valada (IEEE Trans. Robotics, 2023)

The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation. - Jan Ole von Hartz; Eugenio Chisari; Tim Welschehold; Wolfram Burgard; Joschka Boedecker; Abhinav Valada (IEEE Robotics Autom. Lett., 2023)

Self-Supervised Multi-Object Tracking for Autonomous Driving From Consistency Across Timescales. - Christopher Lang; Alexander Braun; Lars Schillingmann; Abhinav Valada (IEEE Robotics Autom. Lett., 2023)

Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation. - Fabian Schmalstieg; Daniel Honerkamp; Tim Welschehold; Abhinav Valada (IEEE Robotics Autom. Lett., 2023)

Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching. - Eugenio Chisari; Nick Heppert; Max Argus; Tim Welschehold; Thomas Brox; Abhinav Valada (CoRL, 2024)

Progressive Multi-Modal Fusion for Robust 3D Object Detection. - Rohit Mohan; Daniele Cattaneo 001; Florian Drews; Abhinav Valada (CoRL, 2024)

LetsMap: Unsupervised Representation Learning for Label-Efficient Semantic BEV Mapping. - Nikhil Gosala; Kürsat Petek; B. Ravi Kiran 001; Senthil Kumar Yogamani; Paulo L. J. Drews-Jr; Wolfram Burgard; Abhinav Valada (ECCV (58), 2024)

Compositional Servoing by Recombining Demonstrations. - Max Argus; Abhijeet Nayak; Martin Büchner; Silvio Galesso; Abhinav Valada; Thomas Brox (ICRA, 2024)

Online Estimation of Articulated Objects with Factor Graphs using Vision and Proprioceptive Sensing. - Russell Buchanan; Adrian Röfer; João Moura 003; Abhinav Valada; Sethu Vijayakumar (ICRA, 2024)

Collaborative Dynamic 3D Scene Graphs for Automated Driving. - Elias Greve; Martin Büchner; Niclas Vödisch; Wolfram Burgard; Abhinav Valada (ICRA, 2024)

Few-Shot Panoptic Segmentation With Foundation Models. - Markus Käppeler; Kürsat Petek; Niclas Vödisch; Wolfram Burgard; Abhinav Valada (ICRA, 2024)

Amodal Optical Flow. - Maximilian Luz; Rohit Mohan; Ahmed Rida Sekkat; Oliver Sawade; Elmar Matthes; Thomas Brox; Abhinav Valada (ICRA, 2024)

RaLF: Flow-based Global and Metric Radar Localization in LiDAR Maps. - Abhijeet Nayak; Daniele Cattaneo 001; Abhinav Valada (ICRA, 2024)

DITTO: Demonstration Imitation by Trajectory Transformation. - Nick Heppert; Max Argus; Tim Welschehold; Thomas Brox; Abhinav Valada (IROS, 2024)

A Point-Based Approach to Efficient LiDAR Multi-Task Perception. - Christopher Lang; Alexander Braun; Lars Schillingmann; Abhinav Valada (IROS, 2024)

Bayesian Optimization for Sample-Efficient Policy Improvement in Robotic Manipulation. - Adrian Röfer; Iman Nematollahi; Tim Welschehold; Wolfram Burgard; Abhinav Valada (IROS, 2024)

BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation. - Jonas Schramm; Niclas Vödisch; Kürsat Petek; Bangalore Ravi Kiran; Senthil Kumar Yogamani; Wolfram Burgard; Abhinav Valada (IROS, 2024)

Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation. - Abdelrhman Werby; Chenguang Huang; Martin Büchner; Abhinav Valada; Wolfram Burgard (Robotics: Science and Systems, 2024)

Semantic Scene Segmentation for Robotics. - Juana Valeria Hurtado; Abhinav Valada (CoRR, 2024)

Evaluation of a Smart Mobile Robotic System for Industrial Plant Inspection and Supervision. - Georg K. J. Fischer; Max Bergau; D. Adriana Gómez-Rosal; Andreas Wachaja; Johannes Gräter; Matthias Odenweller; Uwe Piechottka; Fabian Hoeflinger; Nikhil Gosala; Niklas Wetzel; Daniel Büscher; Abhinav Valada; et al. (CoRR, 2024)

PseudoTouch: Efficiently Imaging the Surface Feel of Objects for Robotic Manipulation. - Adrian Röfer; Nick Heppert; Abdallah Ayman; Eugenio Chisari; Abhinav Valada (CoRR, 2024)

CenterArt: Joint Shape Reconstruction and 6-DoF Grasp Estimation of Articulated Objects. - Sassan Mokhtar; Eugenio Chisari; Nick Heppert; Abhinav Valada (CoRR, 2024)

Imagine2touch: Predictive Tactile Sensing for Robotic Manipulation using Efficient Low-Dimensional Signals. - Abdallah Ayad; Adrian Röfer; Nick Heppert; Abhinav Valada (CoRR, 2024)

LetsMap: Unsupervised Representation Learning for Semantic BEV Mapping. - Nikhil Gosala; Kürsat Petek; B. Ravi Kiran 001; Senthil Kumar Yogamani; Paulo Drews Jr.; Wolfram Burgard; Abhinav Valada (CoRR, 2024)

Learning Lane Graphs from Aerial Imagery Using Transformers. - Martin Büchner; Simon Dorer; Abhinav Valada (CoRR, 2024)

Visual-Inertial SLAM for Agricultural Robotics: Benchmarking the Benefits and Computational Costs of Loop Closing. - Fabian Schmidt; Constantin Blessing; Markus Enzweiler; Abhinav Valada (CoRR, 2024)

Perception Matters: Enhancing Embodied AI with Uncertainty-Aware Semantic Segmentation. - Sai Prasanna; Daniel Honerkamp; Kshitij Sirohi; Tim Welschehold; Wolfram Burgard; Abhinav Valada (CoRR, 2024)

Motion Forecasting via Model-Based Risk Minimization. - Aron Distelzweig; Eitan Kosman; Andreas Look; Faris Janjos; Denesh K. Manivannan; Abhinav Valada (CoRR, 2024)

Panoptic-Depth Forecasting. - Juana Valeria Hurtado; Riya Mohan; Abhinav Valada (CoRR, 2024)

Zero-Cost Whole-Body Teleoperation for Mobile Manipulation. - Daniel Honerkamp; Harsh Mahesheka; Jan Ole von Hartz; Tim Welschehold; Abhinav Valada (CoRR, 2024)

Entropy-Based Uncertainty Modeling for Trajectory Prediction in Autonomous Driving. - Aron Distelzweig; Andreas Look; Eitan Kosman; Faris Janjos; Jörg Wagner; Abhinav Valada (CoRR, 2024)

Neural Fields in Robotics: A Survey. - Muhammad Zubair Irshad; Mauro Comi; Yen-Chen Lin; Nick Heppert; Abhinav Valada; Rares Ambrus; Zsolt Kira; Jonathan Tremblay (CoRR, 2024)

Traffic and Safety Rule Compliance of Humans in Diverse Driving Situations. - Michael Kurenkov; Sajad Marvi; Julian Schmidt; Christoph B. Rist; Alessandro Canevaro; Hang Yu; Julian Jordan; Georg Schildbach; Abhinav Valada (CoRR, 2024)

Learning Few-Shot Object Placement with Intra-Category Transfer. - Adrian Röfer; Russell Buchanan; Max Argus; Sethu Vijayakumar; Abhinav Valada (CoRR, 2024)

The Bare Necessities: Designing Simple, Effective Open-Vocabulary Scene Graphs. - Christina Kassab; Matías Mattamala; Sacha Morin; Martin Büchner; Abhinav Valada; Liam Paull; Maurice F. Fallon (CoRR, 2024)

ROVER: A Multi-Season Dataset for Visual SLAM. - Fabian Schmidt; Constantin Blessing; Markus Enzweiler; Abhinav Valada (CoRR, 2024)

NeRF and Gaussian Splatting SLAM in the Wild. - Fabian Schmidt; Markus Enzweiler; Abhinav Valada (CoRR, 2024)

Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation. - Stephan Lochner; Daniel Honerkamp; Abhinav Valada; Andrew D. Straw (Frontiers Comput. Neurosci., 2024)

Self-Supervised Representation Learning From Temporal Ordering of Automated Driving Sequences. - Christopher Lang; Alexander Braun; Lars Schillingmann; Karsten Haug; Abhinav Valada (IEEE Robotics Autom. Lett., 2024)

Fairness and Bias in Robot Learning. - Laura Londoño; Juana Valeria Hurtado; Nora Hertz; Philipp Kellmeyer; Silja Voeneky; Abhinav Valada (Proc. IEEE, 2024)

Panoptic Out-of-Distribution Segmentation. - Rohit Mohan; Kiran Kumaraswamy; Juana Valeria Hurtado; Kürsat Petek; Abhinav Valada (IEEE Robotics Autom. Lett., 2024)

CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation. - Eugenio Chisari; Nick Heppert; Tim Welschehold; Wolfram Burgard; Abhinav Valada (IEEE Robotics Autom. Lett., 2024)

Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities. - Rohit Mohan; José Arce; Sassan Mokhtar; Daniele Cattaneo 001; Abhinav Valada (IEEE Robotics Autom. Lett., 2024)

Language-Grounded Dynamic Scene Graphs for Interactive Object Search With Mobile Manipulation. - Daniel Honerkamp; Martin Büchner; Fabien Despinoy; Tim Welschehold; Abhinav Valada (IEEE Robotics Autom. Lett., 2024)

Automatic Target-Less Camera-LiDAR Calibration From Motion and Deep Point Correspondences. - Kürsat Petek; Niclas Vödisch; Johannes Meyer; Daniele Cattaneo 001; Abhinav Valada; Wolfram Burgard (IEEE Robotics Autom. Lett., 2024)

AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving. - Ahmed Rida Sekkat; Rohit Mohan; Oliver Sawade; Elmar Matthes; Abhinav Valada (IEEE Robotics Autom. Lett., 2024)

The Art of Imitation: Learning Long-Horizon Manipulation Tasks From Few Demonstrations. - Jan Ole von Hartz; Tim Welschehold; Abhinav Valada; Joschka Boedecker (IEEE Robotics Autom. Lett., 2024)

Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds. - Mohamed Abdelsamad; Michael Ulrich; Claudius Gläser; Abhinav Valada (CVPR, 2025)

CMRNext: Camera to LiDAR Matching in the Wild for Localization and Extrinsic Calibration. - Daniele Cattaneo 001; Abhinav Valada (IEEE Trans. Robotics, 2025)

ROVER: A Multiseason Dataset for Visual SLAM. - Fabian Schmidt; Julian Daubermann; Marcel Mitschke; Constantin Blessing; Stephan Meyer; Markus Enzweiler; Abhinav Valada (IEEE Trans. Robotics, 2025)

A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation. - Niclas Vödisch; Kürsat Petek; Markus Käppeler; Abhinav Valada; Wolfram Burgard (IEEE Robotics Autom. Lett., 2025)

Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception. - Julia Hindel; Daniele Cattaneo 001; Abhinav Valada (IEEE Robotics Autom. Lett., 2025)

Label-Efficient LiDAR Panoptic Segmentation. - Ahmet Selim Çanakçi; Niclas Vödisch; Kürsat Petek; Wolfram Burgard; Abhinav Valada (CoRR, 2025)

Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters. - Julia Hindel; Rohit Mohan; Jelena Bratulic; Daniele Cattaneo 001; Thomas Brox; Abhinav Valada (CoRR, 2025)

Evidential Uncertainty Estimation for Multi-Modal Trajectory Prediction. - Sajad Marvi; Christoph Rist; Julian Schmidt; Julian Jordan; Abhinav Valada (CoRR, 2025)

Collaborative Dynamic 3D Scene Graphs for Open-Vocabulary Urban Scene Understanding. - Tim Steinke; Martin Büchner; Niclas Vödisch; Abhinav Valada (CoRR, 2025)

Learning Appearance and Motion Cues for Panoptic Tracking. - Juana Valeria Hurtado; Sajad Marvi; Rohit Mohan; Abhinav Valada (CoRR, 2025)

OpenLex3D: A New Evaluation Benchmark for Open-Vocabulary 3D Scene Representations. - Christina Kassab; Sacha Morin; Martin Büchner; Matías Mattamala; Kumaraditya Gupta; Abhinav Valada; Liam Paull; Maurice F. Fallon (CoRR, 2025)

Robotic Task Ambiguity Resolution via Natural Language Interaction. - Eugenio Chisari; Jan Ole von Hartz; Fabien Despinoy; Abhinav Valada (CoRR, 2025)

Whole-Body Teleoperation for Mobile Manipulation at Zero Added Cost. - Daniel Honerkamp; Harsh Mahesheka; Jan Ole von Hartz; Tim Welschehold; Abhinav Valada (IEEE Robotics Autom. Lett., 2025)

ParkDiffusion: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction for Automated Parking using Diffusion Models. - Jiarong Wei; Niclas Vödisch; Anna Rehr; Christian Feist; Abhinav Valada (CoRR, 2025)

MORE: Mobile Manipulation Rearrangement Through Grounded Language Reasoning. - Mohammad Mohammadi; Daniel Honerkamp; Martin Büchner; Matteo Cassinelli; Tim Welschehold; Fabien Despinoy; Igor Gilitschenski; Abhinav Valada (CoRR, 2025)

The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning. - Jan Ole von Hartz; Adrian Röfer; Joschka Boedecker; Abhinav Valada (CoRR, 2025)

Visual Loop Closure Detection Through Deep Graph Consensus. - Martin Büchner; Liza Dahiya; Simon Dorer; Vipul Ramtekkar; Kenji Nishimiya; Daniele Cattaneo 001; Abhinav Valada (CoRR, 2025)

Contour Errors: An Ego-Centric Metric for Reliable 3D Multi-Object Tracking. - Sharang Kaul; Mario Berk; Thiemo Gerbich; Abhinav Valada (CoRR, 2025)

Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning. - Rohit Mohan; Julia Hindel; Florian Drews; Claudius Gläser; Daniele Cattaneo 001; Abhinav Valada (CoRR, 2025)

RoboEnvision: A Long-Horizon Video Generation Model for Multi-Task Robot Manipulation. - Liudi Yang; Yang Bai; George Eskandar; Fengyi Shen; Mohammad Altillawi; Dong Chen; Soumajit Majumder; Ziyuan Liu; Gitta Kutyniok; Abhinav Valada (CoRR, 2025)

cVLA: Towards Efficient Camera-Space VLAs. - Max Argus; Jelena Bratulic; Houman Masnavi; Maxim Velikanov; Nick Heppert; Abhinav Valada; Thomas Brox (CoRR, 2025)

Designing for Difference: How Human Characteristics Shape Perceptions of Collaborative Robots. - Sabrina Livanec; Laura Londoño; Michael Gorki; Adrian Röfer; Abhinav Valada; Andrea Kiesel (CoRR, 2025)

Task-Driven Co-Design of Mobile Manipulators. - Raphael Schneider; Daniel Honerkamp; Tim Welschehold; Abhinav Valada (IEEE Robotics Autom. Lett., 2025)