Author

Pavone M

Associate Professor of Aeronautics and Astronautics, Stanford University - Cited by 13,403 - Robotics - Control Theory - Distributed Control - Intelligent Transportation systems

Biography

Dr.Pavone M is currently working in the Department of Mathematics and Computer Science, University of Catania, Catania, Italy. His areas of interest in research includes such as in cellular neural nets, adaptive control, Mobile robots, Neurocontrollers.
Title
Cited by
Year
Text2motion: From natural language instructions to feasible plans
K Lin, C Agia, T Migimatsu, M Pavone, J BohgarXiv preprint arXiv:2303.12153, 2023202
22
2023
Guided conditional diffusion for controllable traffic simulation
Z Zhong, D Rempe, D Xu, Y Chen, S Veer, T Che, B Ray, M Pavone2023 IEEE International Conference on Robotics and Automation (ICRA), 3560-3566, 2023202
14
2023
BITS: Bi-level imitation for traffic simulation
D Xu, Y Chen, B Ivanovic, M Pavone2023 IEEE International Conference on Robotics and Automation (ICRA), 2929-2936, 2023202
14
2023
Near-optimal multi-robot motion planning with finite sampling
D Dayan, K Solovey, M Pavone, D HalperinIEEE Transactions on Robotics, 2023202
11
2023
Co-design to enable user-friendly tools to assess the impact of future mobility solutions
G Zardini, N Lanzetti, A Censi, E Frazzoli, M PavoneIEEE Transactions on Network Science and Engineering 10 (2), 827-844, 2022202
11
2022
Task-relevant failure detection for trajectory predictors in autonomous vehicles
A Farid, S Veer, B Ivanovic, K Leung, M PavoneConference on Robot Learning, 1959-1969, 2023202
11
2023
Real-time neural MPC: Deep learning model predictive control for quadrotors and agile robotic platforms
T Salzmann, E Kaufmann, J Arrizabalaga, M Pavone, D Scaramuzza, ...IEEE Robotics and Automation Letters 8 (4), 237-2404, 2023202
9
2023
Co-design of communication and machine inference for cloud robotics
M Nakanoya, SS Narasimhan, S Bhat, A Anemogiannis, A Datta, S Katti, ...Autonomous Robots, 1-16, 2023202
9
2023
Robust trajectory prediction against adversarial attacks
Y Cao, D Xu, X Weng, Z Mao, A Anandkumar, C Xiao, M PavoneConference on Robot Learning, 12-137, 2023202
8
2023
Diffstack: A differentiable and modular control stack for autonomous vehicles
P Karkus, B Ivanovic, S Mannor, M PavoneConference on Robot Learning, 210-2180, 2023202
7
2023
Hybrid multi-agent deep reinforcement learning for autonomous mobility on demand systems
T Enders, J Harrison, M Pavone, M SchifferLearning for Dynamics and Control Conference, 1284-1296, 20220
3
2023
Data-driven spectral submanifold reduction for nonlinear optimal control of high-dimensional robots
JI Alora, M Cenedese, E Schmerling, G Haller, M Pavone202 IEEE International Conference on Robotics and Automation (ICRA), 2627-26, 20220
3
2023
FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
J Yang, M Pavone, Y WangProceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 20220
3
2023
Integration of reinforcement learning in a virtual robotic surgical simulation
AT Bourdillon, A Garg, H Wang, YJ Woo, M Pavone, J BoydSurgical Innovation 0 (1), 94-102, 20220
3
2023
Online distribution shift detection via recency prediction
R Luo, R Sinha, A Hindy, S Zhao, S Savarese, E Schmerling, M PavonearXiv preprint arXiv:11.09916, 0
2
2022
Expanding the deployment envelope of behavior prediction via adaptive meta-learning
B Ivanovic, J Harrison, M Pavone03 IEEE International Conference on Robotics and Automation (ICRA), 7786-7793, 030
2
2023
Adaptive robust model predictive control via uncertainty cancellation
R Sinha, J Harrison, SM Richards, M PavonearXiv preprint arXiv:1.01371, 0
2
2022
Using spectral submanifolds for nonlinear periodic control
F Mahlknecht, JI Alora, S Jain, E Schmerling, R Bonalli, G Haller, ...0 IEEE 61st Conference on Decision and Control (CDC), 6548-6555, 0
2
2022
2
2023
A System-Level View on Out-of-Distribution Data in Robotics
R Sinha, A Sharma, S Banerjee, T Lew, R Luo, SM Richards, Y Sun, ...arXiv preprint arXiv:1.1400, 0
2
2022