Lionel Ott
Lionel Ott
Verified email at - Homepage
Cited by
Cited by
Simple online and realtime tracking
A Bewley, Z Ge, L Ott, F Ramos, B Upcroft
2016 IEEE international conference on image processing (ICIP), 3464-3468, 2016
Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent
F Ramos, L Ott
The International Journal of Robotics Research 35 (14), 1717-1730, 2016
An efficient sampling-based method for online informative path planning in unknown environments
L Schmid, M Pantic, R Khanna, L Ott, R Siegwart, J Nieto
IEEE Robotics and Automation Letters 5 (2), 1500-1507, 2020
Volumetric grasping network: Real-time 6 dof grasp detection in clutter
M Breyer, JJ Chung, L Ott, R Siegwart, J Nieto
Conference on Robot Learning, 1602-1611, 2021
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
Autonomous teamed exploration of subterranean environments using legged and aerial robots
M Kulkarni, M Dharmadhikari, M Tranzatto, S Zimmermann, V Reijgwart, ...
2022 International Conference on Robotics and Automation (ICRA), 3306-3313, 2022
Bayesian optimisation under uncertain inputs
R Oliveira, L Ott, F Ramos
The 22nd international conference on artificial intelligence and statistics …, 2019
Alextrac: Affinity learning by exploring temporal reinforcement within association chains
A Bewley, L Ott, F Ramos, B Upcroft
2016 IEEE International conference on robotics and automation (ICRA), 2212-2218, 2016
On integrated clustering and outlier detection
L Ott, L Pang, FT Ramos, S Chawla
Advances in neural information processing systems 27, 2014
Bayesian optimisation for active perception and smooth navigation
JR Souza, R Marchant, L Ott, DF Wolf, F Ramos
2014 IEEE international conference on robotics and automation (ICRA), 4081-4087, 2014
Team cerberus wins the darpa subterranean challenge: Technical overview and lessons learned
M Tranzatto, M Dharmadhikari, L Bernreiter, M Camurri, S Khattak, ...
arXiv preprint arXiv:2207.04914, 2022
A unified approach for autonomous volumetric exploration of large scale environments under severe odometry drift
L Schmid, V Reijgwart, L Ott, J Nieto, R Siegwart, C Cadena
IEEE Robotics and Automation Letters 6 (3), 4504-4511, 2021
Spatio-temporal hilbert maps for continuous occupancy representation in dynamic environments
R Senanayake, L Ott, S O'Callaghan, FT Ramos
Advances in Neural Information Processing Systems 29, 2016
Spatiotemporal learning of directional uncertainty in urban environments with kernel recurrent mixture density networks
W Zhi, R Senanayake, L Ott, F Ramos
IEEE Robotics and Automation Letters 4 (4), 4306-4313, 2019
PHASER: A robust and correspondence-free global pointcloud registration
L Bernreiter, L Ott, J Nieto, R Siegwart, C Cadena
IEEE Robotics and Automation Letters 6 (2), 855-862, 2021
Continuous occupancy map fusion with fast bayesian hilbert maps
W Zhi, L Ott, R Senanayake, F Ramos
2019 International Conference on Robotics and Automation (ICRA), 4111-4117, 2019
Unsupervised incremental learning for long-term autonomy
L Ott, F Ramos
2012 IEEE International Conference on Robotics and Automation, 4022-4029, 2012
Go fetch: Mobile manipulation in unstructured environments
K Blomqvist, M Breyer, A Cramariuc, J Förster, M Grinvald, F Tschopp, ...
arXiv preprint arXiv:2004.00899, 2020
Robotic maintenance of road infrastructures: The heron project
I Katsamenis, M Bimpas, E Protopapadakis, C Zafeiropoulos, D Kalogeras, ...
Proceedings of the 15th International Conference on PErvasive Technologies …, 2022
Stein ICP for uncertainty estimation in point cloud matching
FA Maken, F Ramos, L Ott
IEEE robotics and automation letters 7 (2), 1063-1070, 2021
The system can't perform the operation now. Try again later.
Articles 1–20