Lionel Ott

142 papers A* 23A 16B 2C 3Misc 2Journal 83Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient Hierarchical Any-Angle Path Planning on Multi-Resolution 3D Grids.
CoRR
Victor Reijgwart, Cesar Cadena, Roland Siegwart, Lionel Ott
2025 A conf
CueLearner: Bootstrapping and local policy adaptation from relative feedback.
IROS
Giulio Schiavi, Andrei Cramariuc, Lionel Ott, Roland Siegwart
2025 J jnl
CueLearner: Bootstrapping and local policy adaptation from relative feedback.
CoRR
Giulio Schiavi, Andrei Cramariuc, Lionel Ott, Roland Siegwart
2025 J jnl
InstantPose: Zero-Shot Instance-Level 6D Pose Estimation From a Single View.
IEEE Robotics Autom. Lett.
Francesco Di Felice, Alberto Remus, Stefano Gasperini, Benjamin Busam, Lionel Ott, Stefan Thalhammer, Federico Tombari, Carlo Alberto Avizzano
2025 J jnl
Learning Affordances from Interactive Exploration using an Object-level Map.
CoRR
Paula Wulkop, Halil Umut Ozdemir, Antonia Hüfner, Jen Jen Chung, Roland Siegwart, Lionel Ott
2025 J jnl
Towards Fast and Scalable Normal Integration using Continuous Components.
CoRR
Francesco Milano, Jen Jen Chung, Lionel Ott, Roland Siegwart
2024 J jnl
A framework for collaborative multi-robot mapping using spectral graph wavelets.
Int. J. Robotics Res.
Lukas Bernreiter, Shehryar Khattak, Lionel Ott, Roland Siegwart, Marco Hutter, César Cadena
2024 A conf
NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD Models.
IROS
Francesco Milano, Jen Jen Chung, Hermann Blum, Roland Siegwart, Lionel Ott
2024 J jnl
NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD Models.
CoRR
Francesco Milano, Jen Jen Chung, Hermann Blum, Roland Siegwart, Lionel Ott
2024 A conf
On Learning Scene-aware Generative State Abstractions for Task-level Mobile Manipulation Planning.
IROS
Julian Förster, Jen Jen Chung, Lionel Ott, Roland Siegwart
2024 A* conf
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
ICRA
Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin
2024 — conf
Task Adaptation in Industrial Human-Robot Interaction: Leveraging Riemannian Motion Policies.
Robotics: Science and Systems
Mike Allenspach, Michael Pantic, Rik Girod, Lionel Ott, Roland Siegwart
2024 J jnl
Task Adaptation in Industrial Human-Robot Interaction: Leveraging Riemannian Motion Policies.
CoRR
Mike Allenspach, Michael Pantic, Rik Girod, Lionel Ott, Roland Siegwart
2024 J jnl
Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned.
Field Robotics
Marco Tranzatto, Mihir Dharmadhikari, Lukas Bernreiter, Marco Camurri, Shehryar Khattak, Frank Mascarich, Patrick Pfreundschuh, David Wisth, Samuel Zimmermann, Mihir Kulkarni, Victor Reijgwart, Benoît Casseau, Timon Homberger, Paolo De Petris, Lionel Ott, Wayne Tubby, Gabriel Waibel, Huan Nguyen, Cesar Cadena, Russell Buchanan, Lorenz Wellhausen, Nikhil Khedekar, Olov Andersson, Lintong Zhang, Takahiro Miki, Tung Dang, Matías Mattamala, Markus Montenegro, Konrad Meyer, Xiangyu Wu, Adrien Briod, Mark W. Mueller, Maurice F. Fallon, Roland Siegwart, Marco Hutter, Kostas Alexis
2024 A* conf
Waverider: Leveraging Hierarchical, Multi-Resolution Maps for Efficient and Reactive Obstacle Avoidance.
ICRA
Victor Reijgwart, Michael Pantic, Roland Siegwart, Lionel Ott
2024 J jnl
Waverider: Leveraging Hierarchical, Multi-Resolution Maps for Efficient and Reactive Obstacle Avoidance.
CoRR
Victor Reijgwart, Michael Pantic, Roland Siegwart, Lionel Ott
2024 A conf
Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation.
IROS
Francesco Di Felice, Alberto Remus, Stefano Gasperini, Benjamin Busam, Lionel Ott, Federico Tombari, Roland Siegwart, Carlo Alberto Avizzano
2024 J jnl
Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation.
CoRR
Francesco Di Felice, Alberto Remus, Stefano Gasperini, Benjamin Busam, Lionel Ott, Federico Tombari, Roland Siegwart, Carlo Alberto Avizzano
2023 J jnl
Automatic extension of a symbolic mobile manipulation skill set.
Robotics Auton. Syst.
Julian Förster, Lionel Ott, Juan I. Nieto, Nicholas R. J. Lawrance, Roland Siegwart, Jen Jen Chung
2023 A conf
Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps.
IROS
Kenneth Blomqvist, Lionel Ott, Jen Jen Chung, Roland Siegwart
2023 J jnl
Chasing Millimeters: Design, Navigation and State Estimation for Precise In-flight Marking on Ceilings.
CoRR
Christian Lanegger, Michael Pantic, Rik Bähnemann, Roland Siegwart, Lionel Ott
2023 J jnl
Chasing millimeters: design, navigation and state estimation for precise in-flight marking on ceilings.
Auton. Robots
Christian Lanegger, Michael Pantic, Rik Bähnemann, Roland Siegwart, Lionel Ott
2023 — conf
Efficient volumetric mapping of multi-scale environments using wavelet-based compression.
Robotics: Science and Systems
Victor Reijgwart, Cesar Cadena, Roland Siegwart, Lionel Ott
2023 J jnl
Efficient volumetric mapping of multi-scale environments using wavelet-based compression.
CoRR
Victor Reijgwart, Cesar Cadena, Roland Siegwart, Lionel Ott
2023 A* conf
Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects.
ICRA
Giulio Schiavi, Paula Wulkop, Giuseppe Rizzi, Lionel Ott, Roland Siegwart, Jen Jen Chung
2023 A conf
Material-Agnostic Shaping of Granular Materials with Optimal Transport.
IROS
Nikhilesh Alatur, Olov Andersson, Roland Siegwart, Lionel Ott
2023 J jnl
Material-agnostic Shaping of Granular Materials with Optimal Transport.
CoRR
Nikhilesh Alatur, Olov Andersson, Roland Siegwart, Lionel Ott
2023 A* conf
NeRFing it: Offline Object Segmentation Through Implicit Modeling.
ICRA
Kenneth Blomqvist, Jen Jen Chung, Lionel Ott, Roland Siegwart
2023 A conf
Neural Implicit Vision-Language Feature Fields.
IROS
Kenneth Blomqvist, Francesco Milano, Jen Jen Chung, Lionel Ott, Roland Siegwart
2023 J jnl
Neural Implicit Vision-Language Feature Fields.
CoRR
Kenneth Blomqvist, Francesco Milano, Jen Jen Chung, Lionel Ott, Roland Siegwart
2023 A* conf
Obstacle avoidance using Raycasting and Riemannian Motion Policies at kHz rates for MAVs.
ICRA
Michael Pantic, Isar Meijer, Rik Bähnemann, Nikhilesh Alatur, Olov Andersson, Cesar Cadena, Roland Siegwart, Lionel Ott
2023 J jnl
Obstacle avoidance using raycasting and Riemannian Motion Policies at kHz rates for MAVs.
CoRR
Michael Pantic, Isar Meijer, Rik Bähnemann, Nikhilesh Alatur, Olov Andersson, Cesar Dario Cadena Lerma, Roland Siegwart, Lionel Ott
2023 J jnl
Robust Sampling-Based Control of Mobile Manipulators for Interaction With Articulated Objects.
IEEE Trans. Robotics
Giuseppe Rizzi, Jen Jen Chung, Abel Gawel, Lionel Ott, Marco Tognon, Roland Siegwart
2023 — conf
Self-Supervised Learning for Interactive Perception of Surgical Thread for Autonomous Suture Tail-Shortening.
CASE
Vincent Schorp, Will Panitch, Kaushik Shivakumar, Vainavi Viswanath, Justin Kerr, Yahav Avigal, Danyal M. Fer, Lionel Ott, Ken Goldberg
2023 J jnl
Self-Supervised Learning for Interactive Perception of Surgical Thread for Autonomous Suture Tail-Shortening.
CoRR
Vincent Schorp, Will Panitch, Kaushik Shivakumar, Vainavi Viswanath, Justin Kerr, Yahav Avigal, Danyal M. Fer, Lionel Ott, Ken Goldberg
2023 — conf
Soliro - A Hybrid Dynamic Tilt-Wing Aerial Manipulator with Minimal Actuators.
ISER
Michael Pantic, Elias Hampp, Ramon Flammer, Weixuan Zhang, Thomas Stastny, Lionel Ott, Roland Siegwart
2023 J jnl
Soliro - a hybrid dynamic tilt-wing aerial manipulator with minimal actuators.
CoRR
Michael Pantic, Elias Hampp, Ramon Flammer, Weixuan Zhang, Thomas Stastny, Lionel Ott, Roland Siegwart
2023 A* conf
SphNet: A Spherical Network for Semantic Pointcloud Segmentation.
ICRA
Lukas Bernreiter, Lionel Ott, Roland Siegwart, Cesar Cadena
2023 J jnl
To Fuse or Not to Fuse: Measuring Consistency in Multi-Sensor Fusion for Aerial Robots.
CoRR
Christian Lanegger, Helen Oleynikova, Michael Pantic, Lionel Ott, Roland Siegwart
2023 — conf
To Fuse or Not to Fuse: Measuring Consistency in Multi-sensor Fusion for Aerial Robots.
ISER
Christian Lanegger, Helen Oleynikova, Michael Pantic, Lionel Ott, Roland Siegwart
2022 J jnl
A Framework for Collaborative Multi-Robot Mapping using Spectral Graph Wavelets.
CoRR
Lukas Bernreiter, Shehryar Khattak, Lionel Ott, Roland Siegwart, Marco Hutter, Cesar Cadena
2022 — conf
Aerial Layouting: Design and Control of a Compliant and Actuated End-Effector for Precise In-flight Marking on Ceilings.
Robotics: Science and Systems
Christian Lanegger, Marco Ruggia, Marco Tognon, Lionel Ott, Roland Siegwart
2022 A* conf
Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots.
ICRA
Mihir Kulkarni, Mihir Dharmadhikari, Marco Tranzatto, Samuel Zimmermann, Victor Reijgwart, Paolo De Petris, Huan Nguyen, Nikhil Khedekar, Christos Papachristos, Lionel Ott, Roland Siegwart, Marco Hutter, Kostas Alexis
2022 J jnl
Baking in the Feature: Accelerating Volumetric Segmentation by Rendering Feature Maps.
CoRR
Kenneth Blomqvist, Lionel Ott, Jen Jen Chung, Roland Siegwart
2022 J jnl
Bayesian iterative closest point for mobile robot localization.
Int. J. Robotics Res.
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2022 A conf
Closed-Loop Next-Best-View Planning for Target-Driven Grasping.
IROS
Michel Breyer, Lionel Ott, Roland Siegwart, Jen Jen Chung
2022 J jnl
Closed-Loop Next-Best-View Planning for Target-Driven Grasping.
CoRR
Michel Breyer, Lionel Ott, Roland Siegwart, Jen Jen Chung
2022 A* conf
Collaborative Robot Mapping using Spectral Graph Analysis.
ICRA
Lukas Bernreiter, Shehryar Khattak, Lionel Ott, Roland Siegwart, Marco Hutter, César Cadena
2022 J jnl
Collaborative Robot Mapping using Spectral Graph Analysis.
CoRR
Lukas Bernreiter, Shehryar Khattak, Lionel Ott, Roland Siegwart, Marco Hutter, César Cadena
2022 — conf
Diffeomorphic Transforms for Generalised Imitation Learning.
L4DC
Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
2022 C conf
It's Just Semantics: How to Get Robots to Understand the World the Way We Do.
ISRR
Jen Jen Chung, Julian Förster, Paula Wulkop, Lionel Ott, Nicholas R. J. Lawrance, Roland Siegwart
2022 J jnl
Learning Agent-Aware Affordances for Closed-Loop Interaction with Articulated Objects.
CoRR
Giulio Schiavi, Paula Wulkop, Giuseppe Rizzi, Lionel Ott, Roland Siegwart, Jen Jen Chung
2022 A* conf
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks.
ICML
Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos
2022 J jnl
Learning Variable Impedance Control for Aerial Sliding on Uneven Heterogeneous Surfaces by Proprioceptive and Tactile Sensing.
CoRR
Weixuan Zhang, Lionel Ott, Marco Tognon, Roland Siegwart
2022 J jnl
Learning Variable Impedance Control for Aerial Sliding on Uneven Heterogeneous Surfaces by Proprioceptive and Tactile Sensing.
IEEE Robotics Autom. Lett.
Weixuan Zhang, Lionel Ott, Marco Tognon, Roland Siegwart
2022 — conf
Robotic Maintenance of Road Infrastructures: The HERON Project.
PETRA
Iason Katsamenis, Matthaios Bimpas, Eftychios Protopapadakis, Charalampos Zafeiropoulos, Dimitris Kalogeras, Anastasios D. Doulamis, Nikolaos Doulamis, Carlos Martín-Portugués Montoliu, Yannis Handanos, Franziska Schmidt, Lionel Ott, Miquel Cantero, Rafael Lopez
2022 J jnl
Robotic Maintenance of Road Infrastructures: The HERON Project.
CoRR
Iason Katsamenis, Matthaios Bimpas, Eftychios Protopapadakis, Charalampos Zafeiropoulos, Dimitris Kalogeras, Anastasios D. Doulamis, Nikolaos Doulamis, Carlos Martín-Portugués Montoliu, Yannis Handanos, Franziska Schmidt, Lionel Ott, Miquel Cantero, Rafael Lopez
2022 J jnl
Sampling-free obstacle gradients and reactive planning in Neural Radiance Fields (NeRF).
CoRR
Michael Pantic, Cesar Cadena, Roland Siegwart, Lionel Ott
2022 B conf
Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses.
ICPR
Kenneth Blomqvist, Jen Jen Chung, Lionel Ott, Roland Siegwart
2022 J jnl
Semi-automatic 3D Object Keypoint Annotation and Detection for the Masses.
CoRR
Kenneth Blomqvist, Jen Jen Chung, Lionel Ott, Roland Siegwart
2022 J jnl
SphNet: A Spherical Network for Semantic Pointcloud Segmentation.
CoRR
Lukas Bernreiter, Lionel Ott, Roland Siegwart, Cesar Cadena
2022 J jnl
Stein ICP for Uncertainty Estimation in Point Cloud Matching.
IEEE Robotics Autom. Lett.
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2022 J jnl
Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation.
CoRR
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2022 J jnl
Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation.
IEEE Robotics Autom. Lett.
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2022 J jnl
Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned.
CoRR
Marco Tranzatto, Mihir Dharmadhikari, Lukas Bernreiter, Marco Camurri, Shehryar Khattak, Frank Mascarich, Patrick Pfreundschuh, David Wisth, Samuel Zimmermann, Mihir Kulkarni, Victor Reijgwart, Benoît Casseau, Timon Homberger, Paolo De Petris, Lionel Ott, Wayne Tubby, Gabriel Waibel, Huan Nguyen, Cesar Cadena, Russell Buchanan, Lorenz Wellhausen, Nikhil Khedekar, Olov Andersson, Lintong Zhang, Takahiro Miki, Tung Dang, Matías Mattamala, Markus Montenegro, Konrad Meyer, Xiangyu Wu, Adrien Briod, Mark W. Mueller, Maurice F. Fallon, Roland Siegwart, Marco Hutter, Kostas Alexis
2022 J jnl
Visual Loop Closure Detection for a Future Mars Science Helicopter.
IEEE Robotics Autom. Lett.
Alexander Dietsche, Lionel Ott, Roland Siegwart, Roland Brockers
2021 J jnl
A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments Under Severe Odometry Drift.
IEEE Robotics Autom. Lett.
Lukas Schmid, Victor Reijgwart, Lionel Ott, Juan I. Nieto, Roland Siegwart, César Cadena
2021 A* conf
Active Model Learning using Informative Trajectories for Improved Closed-Loop Control on Real Robots.
ICRA
Weixuan Zhang, Marco Tognon, Lionel Ott, Roland Siegwart, Juan I. Nieto
2021 J jnl
Active Model Learning using Informative Trajectories for Improved Closed-Loop Control on Real Robots.
CoRR
Weixuan Zhang, Lionel Ott, Marco Tognon, Roland Siegwart, Juan I. Nieto
2021 A* conf
Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements.
ICRA
Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
2021 J jnl
Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots.
CoRR
Mihir Kulkarni, Mihir Dharmadhikari, Marco Tranzatto, Samuel Zimmermann, Victor Reijgwart, Paolo De Petris, Huan Nguyen, Nikhil Khedekar, Christos Papachristos, Lionel Ott, Roland Siegwart, Marco Hutter, Kostas Alexis
2021 J jnl
Learning ODEs via Diffeomorphisms for Fast and Robust Integration.
CoRR
Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos
2021 J jnl
Mesh Manifold Based Riemannian Motion Planning for Omnidirectional Micro Aerial Vehicles.
IEEE Robotics Autom. Lett.
Michael Pantic, Lionel Ott, Cesar Cadena, Roland Siegwart, Juan I. Nieto
2021 J jnl
Mesh Manifold based Riemannian Motion Planning for Omnidirectional Micro Aerial Vehicles.
CoRR
Michael Pantic, Lionel Ott, Cesar Cadena, Roland Siegwart, Juan I. Nieto
2021 A conf
No-regret approximate inference via Bayesian optimisation.
UAI
Rafael Oliveira, Lionel Ott, Fabio Ramos
2021 J jnl
PHASER: A Robust and Correspondence-Free Global Pointcloud Registration.
IEEE Robotics Autom. Lett.
Lukas Bernreiter, Lionel Ott, Juan I. Nieto, Roland Siegwart, Cesar Cadena
2021 J jnl
PHASER: a Robust and Correspondence-free Global Pointcloud Registration.
CoRR
Lukas Bernreiter, Lionel Ott, Juan I. Nieto, Roland Siegwart, Cesar Cadena
2021 A conf
Probabilistic Trajectory Prediction with Structural Constraints.
IROS
Weiming Zhi, Lionel Ott, Fabio Ramos
2021 J jnl
Probabilistic Trajectory Prediction with Structural Constraints.
CoRR
Weiming Zhi, Lionel Ott, Fabio Ramos
2021 A* conf
Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems.
ICRA
Lukas Bernreiter, Lionel Ott, Juan I. Nieto, Roland Siegwart, Cesar Cadena
2021 J jnl
Spherical Multi-Modal Place Recognition for Heterogeneous Sensor Systems.
CoRR
Lukas Bernreiter, Lionel Ott, Juan I. Nieto, Roland Siegwart, Cesar Cadena
2021 J jnl
Stein ICP for Uncertainty Estimation in Point Cloud Matching.
CoRR
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2021 A conf
Trajectory Generation in New Environments from Past Experiences.
IROS
Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
2021 J jnl
Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter.
CoRR
Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart, Juan I. Nieto
2020 J jnl
A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments under Severe Odometry Drift.
CoRR
Lukas Schmid, Victor J. F. Reijgwart, Lionel Ott, Juan I. Nieto, Roland Siegwart, Cesar Cadena
2020 J jnl
An Efficient Sampling-Based Method for Online Informative Path Planning in Unknown Environments.
IEEE Robotics Autom. Lett.
Lukas Schmid, Michael Pantic, Raghav Khanna, Lionel Ott, Roland Siegwart, Juan I. Nieto
2020 J jnl
Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements.
CoRR
Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
2020 J jnl
Autonomous Extension of a Symbolic Mobile Manipulation Skill Set.
CoRR
Julian Förster, Juan I. Nieto, Lionel Ott, Roland Siegwart, Jen Jen Chung
2020 A* conf
DISCO: Double Likelihood-free Inference Stochastic Control.
ICRA
Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos
2020 J jnl
DISCO: Double Likelihood-free Inference Stochastic Control.
CoRR
Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos
2020 A* conf
Estimating Motion Uncertainty with Bayesian ICP.
ICRA
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2020 J jnl
Estimating Motion Uncertainty with Bayesian ICP.
CoRR
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2020 J jnl
Go Fetch: Mobile Manipulation in Unstructured Environments.
CoRR
Kenneth Blomqvist, Michel Breyer, Andrei Cramariuc, Julian Förster, Margarita Grinvald, Florian Tschopp, Jen Jen Chung, Lionel Ott, Juan I. Nieto, Roland Siegwart
2020 J jnl
Learning Dynamics for Improving Control of Overactuated Flying Systems.
IEEE Robotics Autom. Lett.
Weixuan Zhang, Maximilian Brunner, Lionel Ott, Mina Kamel, Roland Siegwart, Juan I. Nieto
2020 J jnl
Learning dynamics for improving control of overactuated flying systems.
CoRR
Weixuan Zhang, Maximilian Brunner, Lionel Ott, Mina Kamel, Roland Siegwart, Juan I. Nieto
2020 Misc conf
Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter.
CoRL
Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart, Juan I. Nieto
2019 J jnl
An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments.
CoRR
Lukas Schmid, Michael Pantic, Raghav Khanna, Lionel Ott, Roland Siegwart, Juan I. Nieto
2019 J jnl
Bayesian Curiosity for Efficient Exploration in Reinforcement Learning.
CoRR
Tom Blau, Lionel Ott, Fabio Ramos
2019 A conf
Bayesian optimisation under uncertain inputs.
AISTATS
Rafael Oliveira, Lionel Ott, Fabio Ramos
2019 J jnl
Bayesian optimisation under uncertain inputs.
CoRR
Rafael Oliveira, Lionel Ott, Fabio Ramos
2019 A* conf
Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps.
ICRA
Weiming Zhi, Lionel Ott, Ransalu Senanayake, Fabio Ramos
2019 A* conf
Fast Stochastic Functional Path Planning in Occupancy Maps.
ICRA
Gilad Francis, Lionel Ott, Fabio Ramos
2019 Misc conf
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction.
CoRL
Weiming Zhi, Lionel Ott, Fabio Ramos
2019 J jnl
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction.
CoRR
Weiming Zhi, Lionel Ott, Fabio Ramos
2019 J jnl
Learning to Plan Hierarchically From Curriculum.
IEEE Robotics Autom. Lett.
Philippe Morere, Lionel Ott, Fabio Ramos
2019 J jnl
Learning to Plan Hierarchically from Curriculum.
CoRR
Philippe Morere, Lionel Ott, Fabio Ramos
2019 J jnl
OCTNet: Trajectory Generation in New Environments from Past Experiences.
CoRR
Weiming Zhi, Tin Lai, Lionel Ott, Gilad Francis, Fabio Ramos
2019 J jnl
Occupancy map building through Bayesian exploration.
Int. J. Robotics Res.
Gilad Francis, Lionel Ott, Román Marchant, Fabio Ramos
2019 J jnl
Spatiotemporal Learning of Directional Uncertainty in Urban Environments With Kernel Recurrent Mixture Density Networks.
IEEE Robotics Autom. Lett.
Weiming Zhi, Ransalu Senanayake, Lionel Ott, Fabio Ramos
2019 A* conf
Speeding Up Iterative Closest Point Using Stochastic Gradient Descent.
ICRA
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2019 J jnl
Speeding Up Iterative Closest Point Using Stochastic Gradient Descent.
CoRR
Fahira Afzal Maken, Fabio Ramos, Lionel Ott
2018 J jnl
Functional Path Optimisation for Exploration in Continuous Occupancy Maps.
CoRR
Gilad Francis, Lionel Ott, Fabio Ramos
2018 A conf
Improving Reinforcement Learning Pre-Training with Variational Dropout.
IROS
Tom Blau, Lionel Ott, Fabio Ramos
2018 A* conf
Learning to Race Through Coordinate Descent Bayesian Optimisation.
ICRA
Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.
2018 J jnl
Learning to Race through Coordinate Descent Bayesian Optimisation.
CoRR
Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.
2017 C conf
Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty.
ISRR
Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos
2017 J jnl
Bayesian Optimisation for Safe Navigation under Localisation Uncertainty.
CoRR
Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos
2017 C conf
Functional Path Optimisation for Exploration in Continuous Occupancy Maps.
ISRR
Gilad Francis, Lionel Ott, Fabio Ramos
2017 J jnl
Learning to Navigate by Growing Deep Networks.
CoRR
Thushan Ganegedara, Lionel Ott, Fabio Ramos
2017 J jnl
Occupancy Map Building through Bayesian Exploration.
CoRR
Gilad Francis, Lionel Ott, Román Marchant, Fabio Ramos
2017 A* conf
Online learning for scene segmentation with laser-constrained CRFs.
ICRA
Charika De Alvis, Lionel Ott, Fabio Ramos
2017 J jnl
Stochastic Functional Gradient Path Planning in Occupancy Maps.
CoRR
Gilad Francis, Lionel Ott, Fabio Ramos
2017 J jnl
Stochastic Functional Gradient for Motion Planning in Continuous Occupancy Maps.
CoRR
Gilad Francis, Lionel Ott, Fabio Tozeto Ramos
2017 A* conf
Stochastic functional gradient for motion planning in continuous occupancy maps.
ICRA
Gilad Francis, Lionel Ott, Fabio Ramos
2017 J jnl
Urban Scene Segmentation with Laser-Constrained CRFs.
CoRR
Charika De Alvis, Lionel Ott, Fabio Tozeto Ramos
2016 A* conf
Alextrac: Affinity learning by exploring temporal reinforcement within association chains.
ICRA
Alex Bewley, Lionel Ott, Fabio Ramos, Ben Upcroft
2016 J jnl
Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent.
Int. J. Robotics Res.
Fabio Ramos, Lionel Ott
2016 A conf
Online Adaptation of Deep Architectures with Reinforcement Learning.
ECAI
Thushan Ganegedara, Lionel Ott, Fabio Ramos
2016 J jnl
Online Adaptation of Deep Architectures with Reinforcement Learning.
CoRR
Thushan Ganegedara, Lionel Ott, Fabio Ramos
2016 J jnl
Simple Online and Realtime Tracking.
CoRR
Alex Bewley, Zongyuan Ge, Lionel Ott, Fabio Ramos, Ben Upcroft
2016 B conf
Simple online and realtime tracking.
ICIP
Alex Bewley, Zongyuan Ge, Lionel Ott, Fabio Tozeto Ramos, Ben Upcroft
2016 — conf
Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments.
NIPS
Ransalu Senanayake, Lionel Ott, Simon Timothy O'Callaghan, Fabio Tozeto Ramos
2016 A conf
Urban scene segmentation with laser-constrained CRFs.
IROS
Charika De Alvis, Lionel Ott, Fabio Tozeto Ramos
2015 — conf
Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent.
Robotics: Science and Systems
Fabio Tozeto Ramos, Lionel Ott
2015 — —
Unsupervised learning for long-term autonomy.
Lionel Ott
2014 A* conf
Bayesian optimisation for active perception and smooth navigation.
ICRA
Jefferson R. Souza, Román Marchant, Lionel Ott, Denis Fernando Wolf, Fabio Ramos
2014 J jnl
Integer Programming Relaxations for Integrated Clustering and Outlier Detection.
CoRR
Lionel Ott, Linsey Xiaolin Pang, Fabio Ramos, David Howe, Sanjay Chawla
2014 — conf
On Integrated Clustering and Outlier Detection.
NIPS
Lionel Ott, Linsey Xiaolin Pang, Fabio Tozeto Ramos, Sanjay Chawla
2013 A conf
Multi-sensor clustering using Layered Affinity Propagation.
IROS
Lionel Ott, Fabio Ramos
2013 J jnl
Unsupervised online learning for long-term autonomy.
Int. J. Robotics Res.
Lionel Ott, Fabio Ramos
2012 — conf
Real-Time Clustering for Long-Term Autonomy.
ISER
Lionel Ott, Fabio Ramos
2012 A* conf
Unsupervised incremental learning for long-term autonomy.
ICRA
Lionel Ott, Fabio Ramos