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Luigi Palmieri
Luigi Palmieri
Robert Bosch GmbH Corporate Research
Verified email at informatik.uni-freiburg.de - Homepage
Title
Cited by
Cited by
Year
Human Motion Trajectory Prediction: A Survey
A Rudenko, L Palmieri, M Herman, KM Kitani, DM Gavrila, KO Arras
https://arxiv.org/abs/1905.06113, 2019
9012019
SPENCER: A Socially Aware Service Robot for Passenger Guidance and Help in Busy Airports
R Triebel, K Arras, R Alami, L Beyer, S Breuers, R Chatila, M Chetouani, ...
Field and Service Robotics (FSR), 2015
3272015
RRT-Based Nonholonomic Motion Planning Using Any-Angle Path Biasing
L Palmieri, S Koenig, KO Arras
IEEE International Conference on Robotics and Automation (ICRA), 2016
1472016
A Novel RRT Extend Function for Efficient and Smooth Mobile Robot Motion Planning
L Palmieri, KO Arras
Proc. IEEE/RSJ Int. Conference on Intelligent Robots and Systems (IROS) 2014, 2014
822014
Joint Long-Term Prediction of Human Motion Using a Planning-Based Social Force Approach
A Rudenko, L Palmieri, KO Arras
IEEE Int. Conf. on Robotics and Automation (ICRA), 2018
712018
Bench-mr: A motion planning benchmark for wheeled mobile robots
E Heiden, L Palmieri, L Bruns, KO Arras, GS Sukhatme, S Koenig
IEEE Robotics and Automation Letters 6 (3), 4536-4543, 2021
592021
Distance Metric Learning for RRT-Based Motion Planning with Constant-Time Inference
L Palmieri, KO Arras
IEEE International Conference on Robotics and Automation (ICRA) 2015, 2015
552015
Hybrid curvature steer: A novel extend function for sampling-based nonholonomic motion planning in tight environments
H Banzhaf, L Palmieri, D Nienhüser, T Schamm, S Knoop, JM Zöllner
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
502017
Kinodynamic motion planning on Gaussian mixture fields
L Palmieri, TP Kucner, M Magnusson, AJ Lilienthal, KO Arras
2017 IEEE International Conference on Robotics and Automation (ICRA), 6176-6181, 2017
452017
CIAO⁎: MPC-based Safe Motion Planning in Predictable Dynamic Environments
T Schoels, P Rutquist, L Palmieri, A Zanelli, KO Arras, M Diehl
IFAC-PapersOnLine 53 (2), 6555-6562, 2020
412020
Gradient-Informed Path Smoothing for Wheeled Mobile Robots
E Heiden, L Palmieri, S Koenig, KO Arras, GS Sukhatme
International Conference on Robotics and Automation (ICRA), 2018
412018
An NMPC approach using convex inner approximations for online motion planning with guaranteed collision avoidance
T Schoels, L Palmieri, KO Arras, M Diehl
2020 IEEE International Conference on Robotics and Automation (ICRA), 3574-3580, 2020
362020
Human motion prediction under social grouping constraints
A Rudenko, L Palmieri, AJ Lilienthal, KO Arras
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
362018
Probabilistic mapping of spatial motion patterns for mobile robots
TP Kucner, AJ Lilienthal, M Magnusson, L Palmieri, CS Swaminathan
Springer International Publishing, 2020
332020
Dispertio: Optimal sampling for safe deterministic motion planning
L Palmieri, L Bruns, M Meurer, KO Arras
IEEE Robotics and Automation Letters 5 (2), 362-368, 2019
242019
Down the CLiFF: Flow-Aware Trajectory Planning Under Motion Pattern Uncertainty
CS Swaminathan, TP Kucner, M Magnusson, L Palmieri, AJ Lilienthal
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
242018
Predictive Planning for a Mobile Robot in Human Environments
A Rudenko, L Palmieri, KO Arras
Proceedings of the Workshop on AI Planning and Robotics: Challenges and …, 2017
182017
The magni human motion dataset: Accurate, complex, multi-modal, natural, semantically-rich and contextualized
T Schreiter, TR de Almeida, Y Zhu, EG Maestro, L Morillo-Mendez, ...
arXiv preprint arXiv:2208.14925, 2022
152022
Distance Metric Learning for RRT-Based Motion Planning for Wheeled Mobile Robots
L Palmieri, KO Arras
Proceedings of Machine Learning in Planning and Control of Robot Motion …, 2014
152014
Delta: Decomposed efficient long-term robot task planning using large language models
Y Liu, L Palmieri, S Koch, I Georgievski, M Aiello
arXiv preprint arXiv:2404.03275, 2024
142024
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