Marco Pavone
Zitiert von
Zitiert von
Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data
T Salzmann, B Ivanovic, P Chakravarty, M Pavone
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions
L Janson, E Schmerling, A Clark, M Pavone
The International journal of robotics research 34 (7), 883-921, 2015
Toward a systematic approach to the design and evaluation of automated mobility-on-demand systems: A case study in Singapore
K Spieser, K Treleaven, R Zhang, E Frazzoli, D Morton, M Pavone
Road vehicle automation, 229-245, 2014
Risk-constrained reinforcement learning with percentile risk criteria
Y Chow, M Ghavamzadeh, L Janson, M Pavone
Journal of Machine Learning Research 18 (167), 1-51, 2018
Control of robotic mobility-on-demand systems: a queueing-theoretical perspective
R Zhang, M Pavone
The International Journal of Robotics Research 35 (1-3), 186-203, 2016
The trajectron: Probabilistic multi-agent trajectory modeling with dynamic spatiotemporal graphs
B Ivanovic, M Pavone
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Learning sampling distributions for robot motion planning
B Ichter, J Harrison, M Pavone
2018 IEEE International Conference on Robotics and Automation (ICRA), 7087-7094, 2018
Risk-sensitive and robust decision-making: a cvar optimization approach
Y Chow, A Tamar, S Mannor, M Pavone
Advances in neural information processing systems 28, 2015
Robotic load balancing for mobility-on-demand systems
M Pavone, SL Smith, E Frazzoli, D Rus
The International Journal of Robotics Research 31 (7), 839-854, 2012
Chance-constrained dynamic programming with application to risk-aware robotic space exploration
M Ono, M Pavone, Y Kuwata, J Balaram
Autonomous Robots 39, 555-571, 2015
Dynamic vehicle routing for robotic systems
F Bullo, E Frazzoli, M Pavone, K Savla, SL Smith
Proceedings of the IEEE 99 (9), 1482-1504, 2011
Cellular network traffic scheduling with deep reinforcement learning
S Chinchali, P Hu, T Chu, M Sharma, M Bansal, R Misra, M Pavone, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Robust online motion planning via contraction theory and convex optimization
S Singh, A Majumdar, JJ Slotine, M Pavone
2017 IEEE International Conference on Robotics and Automation (ICRA), 5883-5890, 2017
How should a robot assess risk? towards an axiomatic theory of risk in robotics
A Majumdar, M Pavone
Robotics Research: The 18th International Symposium ISRR, 75-84, 2020
Multimodal probabilistic model-based planning for human-robot interaction
E Schmerling, K Leung, W Vollprecht, M Pavone
2018 IEEE international conference on robotics and automation (ICRA), 3399-3406, 2018
Model predictive control of autonomous mobility-on-demand systems
R Zhang, F Rossi, M Pavone
2016 IEEE international conference on robotics and automation (ICRA), 1382-1389, 2016
Routing autonomous vehicles in congested transportation networks: Structural properties and coordination algorithms
F Rossi, R Zhang, Y Hindy, M Pavone
Autonomous Robots 42, 1427-1442, 2018
Autonomous mobility-on-demand systems for future urban mobility
M Pavone
Autonomes Fahren: technische, rechtliche und gesellschaftliche Aspekte, 399-416, 2015
Robot motion planning in learned latent spaces
B Ichter, M Pavone
IEEE Robotics and Automation Letters 4 (3), 2407-2414, 2019
Decentralized policies for geometric pattern formation and path coverage
M Pavone, E Frazzoli
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